Endmember extraction using the physics-based multi-mixture pixel model

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 8515, Issue , 2012, Pages

  Close, Ryan ^a   Gader, Paul ^b   Zare, Alina ^c   Wilson, Joseph ^b   Dranishnikov, Dmitri ^b  

^a U S ARMY   (United States)

^b University of Florida   (United States)

^c UNIVERSITY OF MISSOURI   (United States)

Author keywords

Hyperspectral image analysis; Macroscopic mixture; Microscopic mixture; Multi mixture pixel; Nonlinear unmixing; Physics based mixture models; Reflectance spectroscopy

Indexed keywords

BIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONS; DATA SETS; ENDMEMBER EXTRACTION; ENDMEMBERS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGE ANALYSIS; LINEAR METHODS; LINEAR MIXTURE MODELS; MACROSCOPIC AND MICROSCOPIC; MIXTURE MODEL; NON-LINEAR MODEL; NON-LINEAR UNMIXING; PHYSICS-BASED; PHYSICS-BASED METHODS; PRIORI KNOWLEDGE; REFLECTANCE SPECTROSCOPY; SYNTHETIC DATASETS; UNMIXING;

DISTRIBUTION FUNCTIONS; INDEPENDENT COMPONENT ANALYSIS; MIXTURES; SPECTROMETRY; SPECTROSCOPY;

PIXELS;

EID: 84872512139     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.930288     Document Type: Conference Paper

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