Exploiting an atmospheric model for automated invariant material identification in hyperspectral imagery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3372, Issue , 1998, Pages 60-71

  Slater, David ^a   Healey, Glenn ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

HYDICE; Hyperspectral; Invariant recognition; Material identification; MOD TRAN

Indexed keywords

ALGORITHMS; ATMOSPHERIC AEROSOLS; ATMOSPHERIC RADIATION; ATMOSPHERIC SPECTRA; COMPUTER SIMULATION; GEOMETRY; MAXIMUM LIKELIHOOD ESTIMATION; RADIATION EFFECTS; SOLAR RADIATION; SPECTROMETERS; STATISTICAL METHODS;

AIRBORNE IMAGING SPECTROMETERS; ATMOSPHERIC MODEL; AUTOMATIC MATERIAL IDENTIFICATION; HYPERSPECTRAL IMAGERY; INVARIANT RECOGNITION;

AUTOMATIC TARGET RECOGNITION;

EID: 0032404285     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.312609     Document Type: Conference Paper

References (8)

1. HYDICE system: Implementation and performance
2. MODTRAN: A moderate resolution model for LOWTRAN 7
3. Column atmospheric water vapor and vegetation liquid water retrievals from airborne imaging spectrometer data
4. Spectral distribution of typical daylight as a function of correlated color temperature
5. Correction of atmospheric and topographic effects for high spatial resolution satellite imagery
6. The airborne visible/infrared imaging spectrometer (AVIRIS)
7. Reflectance extraction from CASI spectra using radiative transfer simulations and a rooftop irradiance collector