[go: up one dir, main page]

Schläpfer et al., 2009 - Google Patents

Recent developments in operational atmospheric and radiometric correction of hyperspectral imagery

Schläpfer et al., 2009

View PDF
Document ID
10732709909326889120
Author
Schläpfer D
Richter R
Hueni A
Publication year
Publication venue
Proc. 6th EARSeL SIG IS Workshop

External Links

Snippet

With the advance of imaging spectroscopy systems, the correction of atmospheric influences has been continuously improved while adapting to the enhanced capabilities of current instruments. High resolutions airborne systems such as APEX, AISA, HYSPEX, and CASI …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/89—Radar or analogous systems specially adapted for specific applications for mapping or imaging
    • G01S13/90—Radar or analogous systems specially adapted for specific applications for mapping or imaging using synthetic aperture techniques, e.g. correcting range migration errors
    • G01S13/9035—Particular SAR processing techniques not provided for elsewhere, e.g. squint mode, doppler beam-sharpening mode, spotlight mode, bistatic SAR, inverse SAR
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
    • G01J3/28—Investigating the spectrum
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/88—Lidar systems specially adapted for specific applications
    • G01S17/89—Lidar systems specially adapted for specific applications for mapping or imaging
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
    • G06T3/40—Scaling the whole image or part thereof
    • G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
    • G06T3/4061—Super resolution, i.e. output image resolution higher than sensor resolution by injecting details from a different spectral band
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G06T2207/10036—Multispectral image; Hyperspectral image

Similar Documents

Publication Publication Date Title
US10832390B2 (en) Atmospheric compensation in satellite imagery
US11461994B2 (en) Methods for in-scene shadow compensation using sunlit and skylit illumination factors
Bernstein et al. Validation of the QUick atmospheric correction (QUAC) algorithm for VNIR-SWIR multi-and hyperspectral imagery
Schlerf et al. Remote sensing of forest biophysical variables using HyMap imaging spectrometer data
Schläpfer et al. Operational BRDF effects correction for wide-field-of-view optical scanners (BREFCOR)
Ju et al. Continental-scale validation of MODIS-based and LEDAPS Landsat ETM+ atmospheric correction methods
Petitcolin et al. Land surface reflectance, emissivity and temperature from MODIS middle and thermal infrared data
Perkins et al. Retrieval of atmospheric properties from hyper and multispectral imagery with the FLAASH atmospheric correction algorithm
Pisek et al. Mapping forest background reflectivity over North America with Multi-angle Imaging SpectroRadiometer (MISR) data
Honkavaara et al. Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry
Sterckx et al. Atmospheric correction of APEX hyperspectral data
Kumar et al. Comparison of efficient techniques of hyper-spectral image preprocessing for mineralogy and vegetation studies
Vögtli et al. About the transferability of topographic correction methods from spaceborne to airborne optical data
Grzegorski et al. The Heidelberg iterative cloud retrieval utilities (HICRU) and its application to GOME data
Schläpfer et al. Correction of shadowing in imaging spectroscopy data by quantification of the proportion of diffuse illumination
Schläpfer et al. Recent developments in operational atmospheric and radiometric correction of hyperspectral imagery
CA3077923C (en) Methods for in-scene compensation using water vapor content
Montes et al. Tafkaa atmospheric correction of hyperspectral data
Schläpfer et al. Atmospheric correction of imaging spectroscopy data using shadow-based quantification of aerosol scattering effects
Richter et al. Considerations on water vapor and surface reflectance retrievals for a spaceborne imaging spectrometer
Schläpfer et al. Recent developments in ATCOR for atmospheric compensation and radiometric processing of imaging spectroscopy data
Felde et al. Water vapor retrieval using the FLAASH atmospheric correction algorithm
Bojinski et al. Aerosol mapping over rugged heterogeneous terrain with imaging spectrometer data
Ibrahim et al. Assessing the discrepancy in open-source atmospheric correction of Sentinel-2 acquisitions for a tropical mining area in New Caledonia
Guorui et al. Simulation of hyperspectral scene with full adjacency effect