Segmented PCA-bsed Compression for Hyperspectral Image Analysis

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5268, Issue , 2004, Pages 274-281

  Du, Qian ^a   Chang, Chein I ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Classification; Compression; Detection; Hyperspectral imagery; Principal Components Analysis; Segmented Principal Components Analysis

Indexed keywords

ALGORITHMS; DATA STORAGE EQUIPMENT; DATA TRANSFER; IMAGE COMPRESSION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; VEGETATION; WAVELET TRANSFORMS;

CLASSIFICATION; COMPRESSION; DETECTION; HYPERSPECTRAL IMAGERY; SEGMENTED PRINCIPLE COMPONENTS ANALYSIS;

IMAGE ANALYSIS;

EID: 2142661779     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.518835     Document Type: Conference Paper

References (5)

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2. Q. Du, and C.-I Chang, "Linear Mixture Analysis-bsed Compression for Hyperspectal Image Analysis," IEEE Trans. Geoscience and Remote Sensing (in press).
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4. W. H. Farrand and J. C. Harsanyi, "Mapping the distribution of mine tailing in the coeur d'Alene river valley, Idaho through the use of constrained energy minimization technique," Remote Sensing Env., vol.59, pp.64-76, 1997.
5. D. Heinz and C.-I Chang, "Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery," IEEE Trans. on Geoscience and Remote Sensing, vol. 39, no. 3, pp. 529-545, March 2001.