CN117746242B - Remote sensing prospecting method, device, equipment and medium based on multi-metal deposit remote sensing prospecting model - Google Patents
Remote sensing prospecting method, device, equipment and medium based on multi-metal deposit remote sensing prospecting model Download PDFInfo
- Publication number
- CN117746242B CN117746242B CN202311764576.0A CN202311764576A CN117746242B CN 117746242 B CN117746242 B CN 117746242B CN 202311764576 A CN202311764576 A CN 202311764576A CN 117746242 B CN117746242 B CN 117746242B
- Authority
- CN
- China
- Prior art keywords
- remote sensing
- prospecting
- ore
- model
- mineral
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The embodiment of the disclosure discloses a remote sensing prospecting method, a device, equipment and a medium based on a multi-metal deposit remote sensing prospecting model, wherein the method comprises the following steps: after determining the type of the multi-metal deposit, a typical deposit ore forming theory is established by analyzing ore control elements in a preset area. And then based on the typical deposit ore theory, the feature differences of the landform substances in the preset area are revealed through remote sensing images, remote sensing ore finding marks are established, the remote sensing ore finding marks are subjected to enhanced extraction through a weak information enhancement method, and a multi-metal deposit remote sensing ore finding model is established. Finally, based on the multi-metal deposit remote sensing prospecting model, the preset area is analyzed and verified through an evidence weighting method, and the search of the remote sensing technology for the mineral deposit is completed. The embodiment of the disclosure predicts a remote scenic spot by establishing a multi-metal deposit remote sensing prospecting model and utilizing the model. The development potential of mineral resources in the unmanned area is improved, and the national mineral resource safety is maintained.
Description
Technical Field
The present disclosure relates to remote sensing prospecting technology, and more particularly, to a remote sensing prospecting method, apparatus, device and medium based on a multi-metal deposit remote sensing prospecting model.
Background
Mineral resources, especially copper (gold) polymetallic ores are closely related to the life of people, are the basis of human production and life data, and play an indispensable important role in the sustainable development process of national economy. Therefore, the development of the unmanned area copper (gold) polymetallic ore remote sensing prospecting method has important significance for maintaining the safety of mineral resources in China. However, the remote sensing method for finding the copper (gold) polymetallic ore is established in an unmanned area and is in a blank state.
Taking the north alr Jin Chengkuang zone, which is controlled by the alr's deep fracture and its secondary fracture, as an example, a large amount of copper (gold) polymetallic ore is developed. But is influenced by the dual effects of natural ecological environment endowment and traffic difficulty, most of the area is covered by an unmanned area, and the area becomes one of the areas with the weakest geological mineral research degree in China so far. The existing research results show that although students have carried out a great deal of work in an allgin area and also carried out hyperspectral test point research work on individual mining points in an unmanned area through remote sensing, a' North allgin Jin Chengkuang multi-metal mining remote sensing mining method with copper (gold) has not been established yet.
Therefore, there is a need for one or more methods to solve the above-mentioned problems, providing technical support for maintaining the safety of copper (gold) polymetallic mineral resources in China.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
It is an object of the present disclosure to provide a remote sensing mining method and apparatus, device and medium based on a multi-metal deposit remote sensing mining model, which overcome, at least in part, one or more of the problems due to the limitations and disadvantages of the related art.
According to one aspect of the present disclosure, there is provided a remote sensing prospecting method based on a multi-metal deposit remote sensing prospecting model, comprising:
Based on the types of the multi-metal ore deposit, establishing a typical ore deposit ore forming theory by analyzing ore control elements in a preset area;
based on the typical deposit ore theory, the landform substance characteristic differences of the preset area are displayed through remote sensing images, remote sensing ore finding marks are established, the remote sensing ore finding marks are subjected to enhanced extraction through a weak information enhancement method, and a multi-metal deposit remote sensing ore finding model is established;
And analyzing and verifying the preset area by an evidence weighting method based on the multi-metal deposit remote sensing prospecting model to finish searching the mineral deposit by a remote sensing technology.
In one exemplary embodiment of the present disclosure, analyzing the mine control element of a multi-metal deposit includes:
based on the type of the multi-metal deposit, establishing a raw storage cover mode of the preset area by analyzing the ore control elements of the preset area;
And establishing a typical deposit ore theory by combining the cover generation mode with the geological features of the preset area.
In one exemplary embodiment of the present disclosure, the remote sensing mine finding mark comprises a construction mark, a lithology mark, an altered mineral mark.
In an exemplary embodiment of the present disclosure, visualizing the geomorphic substance characteristic differences of the preset area through a remote sensing image includes:
displaying the difference characteristics of boundary textures constructing the landforms on two sides in the preset area through remote sensing images, and establishing a construction mark;
Displaying the difference characteristics of the material components of the invaded rock and the surrounding rock in the preset area through remote sensing images, and establishing lithology marks;
And developing the difference characteristics of the components of the changed minerals and the surrounding rock substances in the preset area through remote sensing images, and establishing a changed mineral mark.
In an exemplary embodiment of the present disclosure, the method for performing enhanced extraction of the remote sensing prospecting flag by a weak information enhancement method includes:
based on a Gabor transformation method, a construction information remote sensing extraction method is established by carrying out enhanced extraction on the construction mark;
based on a principal component transformation method, establishing a lithology information remote sensing extraction method by carrying out enhanced extraction on the lithology marks;
based on a ratio method, establishing a remote sensing extraction method of the changed mineral information by carrying out intensified extraction on the changed mineral mark;
And establishing a multi-metal deposit remote sensing prospecting model by carrying out model fusion on the construction information remote sensing extraction method, the lithology information remote sensing extraction method and the altered mineral information remote sensing extraction method.
In an exemplary embodiment of the present disclosure, analyzing and verifying the preset area includes:
Based on the multi-metal ore deposit remote sensing prospecting model, remote sensing anomalies, geophysical anomalies, geochemical anomalies and geological background are analyzed through an evidence weighting method, and a remote scenic region is divided in the preset region.
In an exemplary embodiment of the present disclosure, analyzing and verifying the preset area includes:
Performing field investigation on the distant view area, sampling, and when the accuracy of the remote sensing extraction result of the construction, lithology and alteration minerals of the distant view area is smaller than a preset value, not performing target area circumscribing on the distant view area;
performing field investigation on the distant view area, sampling, and when the accuracy of the remote sensing extraction result of the construction, lithology and alteration minerals of the distant view area is not less than a preset value, performing target area circumscribing on the distant view area;
and searching for the mineral deposit by a remote sensing technology based on the distant view area outlined by the target area.
In one aspect of the present disclosure, there is provided a remote sensing prospecting device based on a multi-metal deposit remote sensing prospecting model, comprising:
The typical deposit ore-forming theory establishing module is used for analyzing ore-controlling elements in a preset area and establishing a typical deposit ore-forming theory;
the multi-metal ore deposit remote sensing prospecting model building module is used for displaying the differences of the characteristics of the geomorphic substances in the preset area, carrying out enhanced extraction on the remote sensing prospecting marks and building a multi-metal ore deposit remote sensing prospecting model;
and the target area delineating module is used for analyzing and verifying the preset area and completing the searching of the mineral deposit by the remote sensing technology.
In one aspect of the present disclosure, there is provided an electronic device comprising:
A processor; and
And the memory is stored with computer readable instructions, and the computer readable instructions realize the remote sensing ore finding method based on the multi-metal deposit remote sensing ore finding model according to any one of the above when being executed by the processor.
In one aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a remote sensing prospecting method based on a multi-metal deposit remote sensing prospecting model according to any one of the above.
According to the embodiment of the disclosure, after the type of the multi-metal deposit is determined, a typical deposit ore forming theory is established by analyzing ore control elements in a preset area. And then based on the typical deposit ore theory, the characteristic difference of the geomorphic substances in the preset area is displayed through a remote sensing image, a remote sensing ore finding mark is established, the remote sensing ore finding mark is subjected to enhanced extraction through a weak information enhancement method, and a multi-metal deposit remote sensing ore finding model is established. Finally, based on the multi-metal deposit remote sensing prospecting model, the preset area is analyzed and verified through an evidence weighting method, and the search of the remote sensing technology for the mineral deposit is completed. Thus, embodiments of the present disclosure predict a remote field by building a multi-metal deposit remote sensing prospecting model and using the model. The development potential of mineral resources in the unmanned area is improved, and the national mineral resource safety is maintained.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
The technical scheme of the present disclosure is described in further detail below through the accompanying drawings and examples.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.
The disclosure may be more clearly understood from the following detailed description taken in conjunction with the accompanying drawings in which:
FIG. 1 is a flow chart of a remote sensing prospecting method based on a multi-metal deposit remote sensing prospecting model according to one embodiment of the disclosed method;
FIG. 2 is a decision logic flow diagram of a remote sensing prospecting method based on a multi-metal deposit remote sensing prospecting model according to one embodiment of the disclosed method;
FIG. 3 is a block diagram of a remote sensing prospecting device based on a multi-metal deposit remote sensing prospecting model according to one embodiment of the disclosed method;
fig. 4 is a block diagram of an electronic device of one embodiment of the disclosed method.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the disclosed aspects may be practiced without one or more of the specific details, or with other methods, components, materials, devices, steps, etc. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.
In the embodiment of the disclosure, a remote sensing prospecting method based on a multi-metal deposit remote sensing prospecting model is provided first; referring to fig. 1, the remote sensing prospecting method based on the multi-metal deposit remote sensing prospecting model may include the steps of:
Step S110, based on the type of the multi-metal deposit, establishing a typical deposit ore forming theory by analyzing ore control elements in a preset area;
Step S120, based on a typical deposit ore theory, displaying the landform material characteristic difference of a preset area through a remote sensing image, establishing a remote sensing ore finding mark, performing enhanced extraction on the remote sensing ore finding mark through a weak information enhancement method, and establishing a multi-metal deposit remote sensing ore finding model;
And step S130, analyzing and verifying a preset area by an evidence weighting method based on a multi-metal ore deposit remote sensing prospecting model, and completing the search of a remote sensing technology for the ore deposit.
Next, as shown in fig. 2, a remote sensing mining method based on a multi-metal deposit remote sensing mining model in an embodiment of the present disclosure will be further described.
In step S110, a typical deposit ore formation theory may be established by analyzing ore control elements of a preset region based on the type of the multi-metal deposit.
In some alternative embodiments of the present example, it may be desirable to analyze the area construction, lithology, altered minerals, etc. for mineral control elements in combination with the type of multi-metal deposit. The structure is a trace left by deflection and deformation of rocks or rock bodies forming the crust due to stress, not only provides a channel for the migration of fluid containing ore-smelting liquid, but also generates high temperature and high pressure in the movement process, so that the rocks are melted and deteriorated, the flow and aggregation of minerals are promoted, and a favorable ore-forming environment is provided for forming the multi-metal ore. Lithology refers to some attributes reflecting rock characteristics, such as the color, composition, structure and the like of rock, which not only provides necessary sources for ore formation, but also provides storage space and a cover layer for the ore formation, and is closely related to the ore formation, lithology containing minerals provides sources for forming multi-metal ores, flowing lithology provides media for forming the multi-metal ores, lithology with larger porosity provides storage space for forming the multi-metal ores, and lithology with smaller shallow pore permeability provides a compact cover layer for forming the multi-metal ores. The changed mineral is a mineral with the change of material composition, structure and structure caused by the change of temperature and pressure in the process of rock formation and ore formation, can reflect the physicochemical conditions during ore formation, the property and evolution process of ore-forming hot liquid and can provide relevant information of migration, enrichment and precipitation of ore-forming elements.
The information analyzed by the ore control element is used for predicting the type of mineral, the position of the ore body and the mineralization enrichment degree. It is necessary to summarize and generalize the various mine control elements described above, and then to establish a preliminary reservoir cap pattern (the reservoir cap pattern describes the process of deposit formation, preservation and enrichment. This pattern takes into account factors such as biological factors, reservoir capacity and overburden in the subsurface rock circle, and has instructive significance for deposit formation in a specific region). And then, when the storage cover mode is combined with the geological features of a specific region, the ore deposit ore formation theory can be further refined and perfected according to factors such as geological background, structural features, lithology distribution, mineralization and the like of the region. By studying the deposit formation mechanism in the specific region, mineral exploration, resource evaluation and deposit development can be better guided.
In a specific embodiment, taking a north allten Jin Chengkuang copper (gold) bearing polymetallic ore as an example, according to the type of an allten gold forming belt main copper (gold) polymetallic ore deposit (changed rock/quartz vein type copper gold ore), analyzing the rock control elements such as changed rock, quartz rock and surrounding structures, changed rock, lithology of quartz rock, changed rock, quartz rock accompanying changed minerals and the like and the spatial distribution characteristics of the rock control elements in other areas, namely establishing a typical ore deposit ore forming theory applicable to the north allten Jin Chengkuang copper (gold) bearing polymetallic ore.
In step S120, based on the typical deposit ore theory, the differences of the landform material characteristics of the preset area are visualized through the remote sensing image, the remote sensing ore finding mark is established, the remote sensing ore finding mark is subjected to enhanced extraction through the weak information enhancement method, and the multi-metal deposit remote sensing ore finding model is established. The remote sensing mining marks comprise a construction mark, a lithology mark and an altered mineral mark.
In some alternative embodiments of the present example, the differences in the landscape, material composition, and properties of the mine are different from the general region. The method can cause abnormal spectrum, tone and texture of the mining area on the remote sensing image, and becomes a mark for direct remote sensing mining. For example, the construction mark can be established by visualizing the landform, tone and texture anomalies on both sides of the construction; the differences of the material components of the invaded rock and the surrounding rock are displayed to cause abnormal color tone, texture and annular structure on the image, and lithology marks are established; and developing the difference of the material composition of the changed mineral components in the changed zone and the surrounding rock, causing the abnormal color tone and spectrum of the changed mineral components on the remote sensing image, and establishing a changed mineral mark. Furthermore, the differences of trace elements, water content and water content between the toxic vegetation and normal vegetation in the mining area are revealed, so that the toxic vegetation and the normal vegetation show excellent performance and spectrum variation on the image and the like can also be used as marks for remote sensing prospecting.
In a specific embodiment, taking north alpha Jin Chengkuang with copper (gold) polymetallic ore as an example, the structure is mainly a linear structure formed by fracture and an annular structure formed by a volcanic vent and the like, and the structural mark can be identified by remote sensing according to different textures of the linear structure and the annular structure and the boundary of the peripheral ground object. Lithology marks can be identified by remote sensing according to the difference of the spectrum, the tone and the texture of lithology such as acid intrusion rock, quartz and the like from other lithology. According to the differences of spectrum, color tone and texture of the changed minerals such as brown iron mineralization, siliconization, malachite petrochemical industry, yellow iron mineralization, green mud petrochemical industry, sericite and the like, which are different from other rock-making minerals, the changed mineral marks can be identified through remote sensing.
In some alternative embodiments of the present example, however, these remote sensing mine prospecting markers appear as weak information on the image, subject to interference factors such as surface coverage, spectral mixing, and the like. Accordingly, in order to highlight the remote sensing prospecting mark, the present example proposes a corresponding weak information enhancement method, such as highlighting the spectrum difference by a ratio method or the like, highlighting the hue difference by a principal component analysis method (PCA) or a minimum noise transformation Method (MNF) or the like, highlighting the image texture difference by a Gabor transformation method or a RAIN transformation method or the like. By summarizing the characteristics of the remote sensing prospecting marks on the remote sensing image based on the established remote sensing prospecting marks, a rock and mineral weak information extraction technology and method are developed, scientific basis is provided for predicting the remote scenic spots, and the method becomes the key of mineral control element information extraction.
In particular embodiments, the formation markers are formed primarily by formation cuts or dislocations caused by geologic structure activity, and typically exhibit boundary texture anomalies with surrounding features on the remote sensing image, while the Gabor transform is a linear filter for edge extraction. The frequency and direction expression of Gabor transformation method are similar to human visual system, and are very suitable for expression and separation of textures. The operator of Gabor transformation method is divided into a real part and an imaginary part, which are orthogonal to each other, the real part can be used for realizing the image smoothing under different frequencies, and the imaginary part can be used for enhancing the image edge information in different directions. Specifically, a Gabor transformation method is utilized, and a two-dimensional Gabor wavelet kernel function is established:
Wherein u is a direction factor, v is a scale factor, and phi is a function taking u and v as parameters; z= (x, y) is an image coordinate, σ is a constant related to the wavelet frequency bandwidth, k u,v represents the center frequency, cos θ u、sinθu represents the direction. By selecting different wavelet functions obtained from different frequencies and directions, the construction information on the remote sensing image is enhanced in multiple dimensions and directions, and the construction mark shows a desired effect.
In a specific embodiment, the lithology mark generally shows abnormal color tone with surrounding ground objects on a remote sensing image, and the main component transformation method is based on the principle of selecting the maximum variance among wave bands, so that the purposes of dimension reduction, data compression and information separation are realized, the characteristics of unchanged total information quantity before and after transformation are realized, and the correlation among wave band data is reduced. Specifically, by using a principal component transformation method, an original wave band of a lithology marker is projected into a new coordinate system, and a matrix X is formed by arranging rows. And secondly, data normalization is carried out on the matrix X so that the average value of the matrix X becomes zero. And solving a covariance matrix C of X, arranging the eigenvectors from large to small according to eigenvalues, and taking the first k rows to form a matrix P. Then, by calculating y=px, the reduced-dimension data Y is obtained, and the contribution rate Vi of each feature root is calculated by vi=xi/(x1+x2+ …). Finally, the physical meaning of the main component is interpreted according to the characteristic root and the characteristic vector thereof, and the aim of highlighting the characteristic of lithology different from the characteristic of background color is achieved by carrying out false color synthesis on the converted wave band.
In a specific embodiment, the altered mineral mark generally shows spectral anomalies with surrounding features on the remote sensing image, and the ratio method is a method of performing ratio operation on the result of transformation of two or more images according to the difference in image gray scale caused by the change of reflectivity or emissivity of the altered mineral with the change of wavelength. By using the ratio method, the influence of multiplicative factors in the electromagnetic wave transmission process, especially background factors (such as soil) with little change of band intensity are eliminated, so that mineral information with larger band intensity difference on two ratio bands is enhanced, namely, the spectral anomaly of the material components of the changed mineral components compared with surrounding rocks is more obvious in a remote sensing image.
Combining the establishment and enhancement methods of the marks in the specific embodiment, and performing model fusion to establish the multi-metal deposit remote sensing prospecting model applicable to the multi-metal ores with copper (gold) in North America Jin Chengkuang.
In step S130, based on the multi-metal deposit remote sensing prospecting model, the preset area is analyzed and verified by an evidence weighting method, so as to complete the search of the remote sensing technology for the mineral deposit.
In some alternative embodiments of the present example, the statistical analysis mode is used to perform superposition analysis on the geochemical information related to mineral formation to achieve prediction of the mine-forming remote scenic spot. In the process, each piece of geochemical information is regarded as an evidence factor for ore formation prospect prediction, and the contribution degree of the factor to the ore formation benefit evaluation of the mineral resources in a certain area is determined by the weight value.
In a specific embodiment, taking north al Jin Chengkuang multi-metal ore with copper (gold) as an example, the probability of mineral formation in the region is determined by calculating information values of remote sensing anomalies, geophysical anomalies, geochemical anomalies, geological background, and the like that affect the mineral formation factors therein. Eventually, a total of 45 distant sites are predicted at secondary structure intersections, near small rock masses, concentrated development zones of various altered minerals, and the like.
In some alternative embodiments of the present example, the field investigation is performed using GPS, camera, geologic hammer, compass, magnifier, etc. based on the predicted remote location, and sampled. To verify the accuracy of the structure, lithology and altered mineral extraction results, especially for the development of field mineralization phenomena. And (3) analyzing the mineral and element contents of the mineral control elements by assay, further evaluating the accuracy of the predicted remote scenery region, setting a predicted value, and when the evaluated accuracy of the remote scenery region is higher than the predicted value, developing large-scale remote sensing, geology, geophysics and geochemistry map filling in the place, and delineating a target region by combining laboratory analysis results of exploratory slot sampling.
The mining area can be built by detailed investigation in future based on the delineated target area. The method provides scientific basis for the subsequent expansion of the working area of the mining area and the analysis of the mineral resource types, improves the potential of mineral resource development, and provides powerful guarantee for the safety of the mineral resource in the maintenance country.
It should be noted that although the steps of the methods of the present disclosure are illustrated in a particular order in the figures, this does not require or imply that the steps must be performed in that particular order or that all of the illustrated steps must be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.
In addition, in the embodiment of the example, a remote sensing prospecting device based on a multi-metal deposit remote sensing prospecting model is also provided. Referring to fig. 3, the remote sensing prospecting device 300 based on the multi-metal deposit remote sensing prospecting model may include: a typical deposit ore theory building module 310, a multi-metal deposit remote sensing prospecting model building module 320, and a target zone delineation module 330. Wherein:
a typical deposit ore-forming theory establishing module 310, configured to analyze ore-controlling elements in a preset area and establish a typical deposit ore-forming theory;
The multi-metal deposit remote sensing prospecting model building module 320 is configured to develop the differences of the geographic features and the characteristics of the materials in the preset area, perform enhanced extraction on the remote sensing prospecting marks, and build a multi-metal deposit remote sensing prospecting model;
And the target area delineation module 330 is used for analyzing and verifying the preset area and completing the search of the mineral deposit by the remote sensing technology.
The remote sensing prospecting device based on the multi-metal deposit remote sensing prospecting model in the embodiment of the disclosure corresponds to the embodiment of the remote sensing prospecting method based on the multi-metal deposit remote sensing prospecting model in the disclosure, and the related contents can be referred to each other and are not repeated here. The beneficial technical effects corresponding to the remote sensing prospecting device based on the multi-metal deposit remote sensing prospecting model in the embodiment of the present disclosure may refer to the corresponding beneficial technical effects of the above corresponding exemplary method section, and will not be described herein.
It should be noted that although several modules or units of the remote sensing prospecting apparatus 300 based on a multi-metal deposit remote sensing prospecting model are mentioned in the above detailed description, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
Next, an electronic device according to an embodiment of the present disclosure is described with reference to fig. 4. The electronic device may be either or both of the first device and the second device, or a stand-alone device independent thereof, which may communicate with the first device and the second device to receive the acquired input signals therefrom.
Fig. 4 illustrates a block diagram of an electronic device according to an embodiment of the disclosure.
As shown in fig. 4, the electronic device includes one or more processors and memory.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing and/or instruction execution capabilities, and may control other components in the electronic device to perform the desired functions.
The memory may store one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and/or nonvolatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. One or more computer program products may be stored on the computer readable storage medium that can be run by a processor to implement the various embodiments methods of the present disclosure and/or other desired functions as described above.
In one example, the electronic device may further include: input devices and output devices, which are interconnected by a bus system and/or other forms of connection mechanisms (not shown).
In addition, the input device may include, for example, a keyboard, a mouse, and the like.
The output device may output various information including the determined distance information, direction information, etc., to the outside. The output device may include, for example, a display, speakers, a printer, and a communication network and remote output devices connected thereto, etc.
Of course, only some of the components of the electronic device relevant to the present disclosure are shown in fig. 4 for simplicity, components such as buses, input/output interfaces, etc. being omitted. In addition, the electronic device may include any other suitable components depending on the particular application.
In addition to the methods and apparatus described above, embodiments of the present disclosure may also be a computer program product comprising computer program instructions which, when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the present disclosure described in the above section of the specification.
The computer program product may write program code for performing the operations of embodiments of the present disclosure in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server.
Furthermore, embodiments of the present disclosure may also be a computer-readable storage medium, having stored thereon computer program instructions, which when executed by a processor, cause the processor to perform steps in a method according to various embodiments of the present disclosure described in the above section of the present disclosure.
The computer readable storage medium may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The basic principles of the present disclosure have been described above in connection with specific embodiments, but it should be noted that the advantages, benefits, effects, etc. mentioned in the present disclosure are merely examples and not limiting, and these advantages, benefits, effects, etc. are not to be considered as necessarily possessed by the various embodiments of the present disclosure. Furthermore, the specific details disclosed herein are for purposes of illustration and understanding only, and are not intended to be limiting, since the disclosure is not necessarily limited to practice with the specific details described.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different manner from other embodiments, so that the same or similar parts between the embodiments are mutually referred to. For system embodiments, the description is relatively simple as it essentially corresponds to method embodiments, and reference should be made to the description of method embodiments for relevant points.
The block diagrams of the devices, apparatuses, devices, systems referred to in this disclosure are merely illustrative examples and are not intended to require or imply that the connections, arrangements, configurations must be made in the manner shown in the block diagrams. As will be appreciated by one of skill in the art, the devices, apparatuses, devices, systems may be connected, arranged, configured in any manner. Words such as "including," "comprising," "having," and the like are words of openness and mean "including but not limited to," and are used interchangeably therewith. The terms "or" and "as used herein refer to and are used interchangeably with the term" and/or "unless the context clearly indicates otherwise. The term "such as" as used herein refers to, and is used interchangeably with, the phrase "such as, but not limited to.
The methods and apparatus of the present disclosure may be implemented in a number of ways. For example, the methods and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, firmware. The above-described sequence of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the sequence specifically described above unless specifically stated otherwise. Furthermore, in some embodiments, the present disclosure may also be implemented as programs recorded in a recording medium, the programs including machine-readable instructions for implementing the methods according to the present disclosure. Thus, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.
It is also noted that in the apparatus, devices and methods of the present disclosure, components or steps may be disassembled and/or assembled. Such decomposition and/or recombination should be considered equivalent to the present disclosure.
The previous description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other aspects without departing from the scope of the disclosure. Thus, the present disclosure is not intended to be limited to the aspects shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
The foregoing description has been presented for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of the disclosure to the form disclosed herein. Although a number of example aspects and embodiments have been discussed above, a person of ordinary skill in the art will recognize certain variations, modifications, alterations, additions, and subcombinations thereof.
Claims (6)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311764576.0A CN117746242B (en) | 2023-12-20 | 2023-12-20 | Remote sensing prospecting method, device, equipment and medium based on multi-metal deposit remote sensing prospecting model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311764576.0A CN117746242B (en) | 2023-12-20 | 2023-12-20 | Remote sensing prospecting method, device, equipment and medium based on multi-metal deposit remote sensing prospecting model |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117746242A CN117746242A (en) | 2024-03-22 |
| CN117746242B true CN117746242B (en) | 2024-08-06 |
Family
ID=90258936
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311764576.0A Active CN117746242B (en) | 2023-12-20 | 2023-12-20 | Remote sensing prospecting method, device, equipment and medium based on multi-metal deposit remote sensing prospecting model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117746242B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118504781B (en) * | 2024-07-16 | 2024-10-18 | 中南大学 | Three-dimensional prediction method and related equipment for concealed ore bodies taking into account the spatial correlation of mineralization |
| CN119783732B (en) * | 2025-03-10 | 2025-07-01 | 云南大学 | Ore finding method, device, equipment and medium based on multi-source remote sensing technology |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7593598B2 (en) * | 2005-02-03 | 2009-09-22 | Siemens Medical Solutions Usa, Inc. | System and method for efficient filter design through weighted difference of Gaussian filters |
| CN103971364B (en) * | 2014-04-04 | 2017-02-01 | 西南交通大学 | Remote sensing image variation detecting method on basis of weighted Gabor wavelet characteristics and two-stage clusters |
| CN107192673B (en) * | 2017-05-18 | 2020-11-06 | 成都理工大学 | Integrated geological mapping method based on ASTER and underground core spectral measurement technology |
| CN110991075B (en) * | 2019-12-16 | 2023-11-28 | 中国地质调查局西安地质调查中心 | Rapid investigation and evaluation method for metal mineral products |
| CN111402194B (en) * | 2019-12-17 | 2023-10-20 | 核工业北京地质研究院 | Method suitable for identifying exposed and hidden fracture structure of granite uranium mining area |
-
2023
- 2023-12-20 CN CN202311764576.0A patent/CN117746242B/en active Active
Non-Patent Citations (5)
| Title |
|---|
| 低植被覆盖区斑岩铜矿遥感找矿模型及其应用——以环巴尔喀什西准噶尔成矿带为例;王钦军等;《地质学报》;20171231;第1-2节 * |
| 基于ＧＩＳ的改进证据权重法在新疆托里地区铜金矿预测中的应用;黄彰等;《遥感信息》;20141231;摘要、第1节 * |
| 小波变换在遥感图像纹理高频增强显示中应用;梁俊等;《测绘信息与工程》;20081031;第2节 * |
| 新疆西昆仑皮山县赛图拉镇东ASTER影像岩性提取研究;穆媛芮等;《西部探矿工程》;20170630;摘要 * |
| 王钦军等.低植被覆盖区斑岩铜矿遥感找矿模型及其应用——以环巴尔喀什西准噶尔成矿带为例.《地质学报》.2017,第1-2节. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117746242A (en) | 2024-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN117746242B (en) | Remote sensing prospecting method, device, equipment and medium based on multi-metal deposit remote sensing prospecting model | |
| Chattoraj et al. | Integration of remote sensing, gravity and geochemical data for exploration of Cu-mineralization in Alwar basin, Rajasthan, India | |
| Zheng et al. | Electrofacies classification of deeply buried carbonate strata using machine learning methods: A case study on ordovician paleokarst reservoirs in Tarim Basin | |
| Wang et al. | Mineral potential targeting and resource assessment based on 3D geological modeling in Luanchuan region, China | |
| CN111859811B (en) | Ore formation prediction method and system based on fuzzy logic and machine learning | |
| Serkan Öztan et al. | Mapping evaporate minerals by ASTER | |
| CN118194162B (en) | Method, system, electronic equipment and storage medium for locating mining target area based on multivariate data | |
| Wu et al. | Unsupervised machine learning for lithological mapping using geochemical data in covered areas of Jining, China | |
| CN104123559A (en) | Multi-source remote sensing discrimination method and system for underground potassium-containing brine resources in salt lake region | |
| Riahi et al. | Integration of airborne geophysics and satellite imagery data for exploration targeting in porphyry Cu systems: Chahargonbad district, Iran | |
| Eberle et al. | Integrated data analysis for mineral exploration: A case study of clustering satellite imagery, airborne gamma-ray, and regional geochemical data suites | |
| Hasan et al. | Spectral Angle Mapper and aeromagnetic data integration for gold-associated alteration zone mapping: a case study for the Central Eastern Desert Egypt | |
| de Kemp et al. | Assessing the workflow for regional-scale 3D geologic modeling: An example from the Sullivan time horizon, Purcell Anticlinorium East Kootenay region, southeastern British Columbia | |
| Esmaeiloghli et al. | Spatially-weighted factor analysis for extraction of source-oriented mineralization feature in 3D coordinates of surface geochemical signal | |
| Adeli et al. | Geostatistical simulation of rock physical and geochemical properties with spatial filtering and its application to predictive geological mapping | |
| Mostafaei et al. | Compiling and verifying 3D models of 2D induced polarization and resistivity data by geostatistical methods | |
| CN108280433B (en) | Identification method and system for gold mine under planting covered area | |
| Tian et al. | Geographically weighted regression (GWR) and Prediction-area (PA) plot to generate enhanced geochemical signatures for mineral exploration targeting | |
| Hussain et al. | Remote sensing-based structural and lithological mapping for prospecting polymetallic mineralization at Xiaoshan region, China | |
| CN120105052A (en) | A copper mine prediction method based on multi-source data | |
| Zhou et al. | ASTER VNIR‐SWIR Based Lithological Mapping of Granitoids in the Western Junggar Orogen (NW Xinjiang): Improved Inputs to Random Forest Method | |
| Daneshfar et al. | Mineral-potential mapping for MVT deposits with limited data sets using Landsat data and geological evidence in the Borden Basin, Northern Baffin Island, Nunavut, Canada | |
| Yang et al. | Hyperspectral imaging for mineral composition and weathering recognition of rock slope on the reservoir bank | |
| Niiranen et al. | Exploration Lapland 3D (XL3D)–an integrative geomodeling workflow to support exploration | |
| Chen et al. | Application of the geo-anomaly unit concept in quantitative delineation and assessment of gold ore targets in Western Shandong Uplift Terrain, Eastern China |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |