Resolution enhancement of hyperspectral imagery using coincident panchromatic imagery and a stochastic mixing model

2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

Volumn , Issue , 2004, Pages 282-289

  Eismann, M T ^a   Hardie, R C ^b  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b UNIVERSITY OF DAYTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; ESTIMATION; IMAGE PROCESSING; LEAST SQUARES APPROXIMATIONS; LINEAR SYSTEMS; MIXING; PIXELS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SPECTROSCOPY; STOCHASTIC SYSTEMS;

FIRST PRINCIPAL COMPONENTS; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL IMAGE DATAS; LEAST SQUARES ESTIMATION; LINEAR SYSTEM OF EQUATIONS; MATHEMATICAL FORMULATION; MAXIMUM A POSTERIORI ESTIMATION; STOCHASTIC MIXING MODEL;

STOCHASTIC MODELS;

EID: 84870407421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WARSD.2003.1295206     Document Type: Conference Paper

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