An endmember-based distance for content based hyperspectral image retrieval

Pattern Recognition

Volumn 45, Issue 9, 2012, Pages 3472-3489

  Graña, Manuel ^a   Veganzones, Miguel A ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Content based image retrieval; Endmember induction algorithm; Hyperspectral images; Image similarity

Indexed keywords

CONTENT BASED IMAGE RETRIEVAL; CONTENT-BASED; CONVEX POLYTOPES; DATA SETS; DISSIMILARITY FUNCTION; DISSIMILARITY MEASURES; ELEMENTARY MATERIALS; ENDMEMBERS; HAUSDORFF DISTANCE; HIGH DIMENSIONAL SPACES; HYPER-SPECTRAL IMAGES; IMAGE DATA; IMAGE FEATURES; IMAGE SIMILARITY; INDUCTION ALGORITHMS; LINEAR COMBINATIONS; PERFORMANCE MEASURE; PERFORMANCE SENSITIVITY; QUANTITATIVE EVALUATION; REAL IMAGE DATA; RELATIVE PERFORMANCE; ROBUST VARIATION; SPECTRAL INFORMATION;

ALGORITHMS; CONTENT BASED RETRIEVAL; PIXELS;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84861627809     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2012.03.015     Document Type: Conference Paper

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