[go: up one dir, main page]

Mayer et al., 2000 - Google Patents

Detection of camouflaged targets in cluttered backgrounds using fusion of near simultaneous spectral and polarimetric imaging

Mayer et al., 2000

View PDF
Document ID
13516672474223089114
Author
Mayer R
Priest R
Steliman C
Hazel G
Schaum A
Publication year

External Links

Snippet

The detection of low signature or camouflaged targets in cluttered backgrounds is a crucial problem in tactical reconnaissance. In the past few years, imaging spectral and polarimetric sensors have been evaluated for this application. Although these sensors have separately …
Continue reading at apps.dtic.mil (PDF) (other versions)

Classifications

    • 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
    • G01J3/30—Measuring the intensity of spectral line directly on the spectrum itself
    • G01J3/36—Investigating two or more bands of a spectrum by separate detectors
    • 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
    • G01J3/2823—Imaging spectrometer
    • 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
    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/30—Transforming light or analogous information into electric information
    • H04N5/33—Transforming infra-red radiation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20048—Transform domain processing
    • G06T2207/20056—Discrete and fast Fourier transform, [DFT, FFT]
    • 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
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • 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
    • G01S3/00—Direction-finders for determining the direction from which infrasonic, sonic, ultrasonic, or electromagnetic waves, or particle emission, not having a directional significance, are being received

Similar Documents

Publication Publication Date Title
Koretsky et al. A tutorial on electro-optical/infrared (EO/IR) theory and systems
US8571325B1 (en) Detection of targets from hyperspectral imagery
Stellman et al. Real-time hyperspectral detection and cuing
Sabbah et al. Remote sensing of gases by hyperspectral imaging: system performance and measurements
Meola et al. Detecting changes in hyperspectral imagery using a model-based approach
Mayer et al. Object detection by using" whitening/dewhitening" to transform target signatures in multitemporal hyperspectral and multispectral imagery
US8897570B1 (en) Detection of targets from hyperspectral imagery
US20110043603A1 (en) System And Method For Dehazing
US8897571B1 (en) Detection of targets from hyperspectral imagery
CA2642722A1 (en) Method for spectral data classification and detection in diverse lighting conditions
Young et al. Signal processing and performance analysis for imaging systems
Bodkin et al. Video-rate chemical identification and visualization with snapshot hyperspectral imaging
Meola et al. Application of model-based change detection to airborne VNIR/SWIR hyperspectral imagery
EP2711730A1 (en) Monitoring of people and objects
Koz Ground-based hyperspectral image surveillance systems for explosive detection: Part II—Radiance to reflectance conversions
Meng et al. An analytical model for optical polarimetric imaging systems
Mayer et al. Detection of camouflaged targets in cluttered backgrounds using fusion of near simultaneous spectral and polarimetric imaging
Fischer et al. Median spectral-spatial bad pixel identification and replacement for hyperspectral SWIR sensors
Hickman et al. Polarimetric imaging: system architectures and trade-offs
Acito et al. Robust technique for anomalous change detection in airborne hyperspectral imagery based on automatic and adaptive band selection
Bürsing et al. Hyperspectral imaging: future applications in security systems.
KR101795728B1 (en) Measuring and Processing System for Infrared Image
Cremer et al. Stand-off Thermal IR Minefield Survey: System concept and experimental results
Kneer et al. A snapshot imaging system for the measurement of solar-induced chlorophyll fluorescence—addressing the challenges of high-performance spectral imaging
Manolakis et al. Statistical models for LWIR hyperspectral backgrounds and their applications in chemical agent detection