Hyperspectral resolution enhancement using high-resolution multispectral imagery with arbitrary response functions

IEEE Transactions on Geoscience and Remote Sensing

Volumn 43, Issue 3, 2005, Pages 455-465

  Eismann, Michael T ^a   Hardie, Russell C ^b  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b University of Dayton   (United States)

Author keywords

Conjugate direction method; Gradient search optimization; Hyperspectral; Maximum a posteriori (MAP) estimation; Resolution enhancement; Stochastic mixing model (SMM)

Indexed keywords

ALGORITHMS; ESTIMATION; IMAGE SENSORS; IMAGING SYSTEMS; MATHEMATICAL MODELS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; STATISTICAL METHODS;

CONJUGATE DIRECTION METHODS; GRADIENT SEARCH OPTIMIZATION; HYPERSPECTRAL; MAXIMUM A POSTERIORI (MAP); RESOLUTION ENHANCEMENT; STOCHASTIC MIXING MODEL (SMM);

IMAGE ANALYSIS;

EID: 14644411721     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2004.837324     Document Type: Conference Paper

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