Modified Principal Component Analysis (MPCA) for Feature Selection of Hyperspectral Imagery

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 6, Issue , 2003, Pages 3781-3783

  Wang, Cheng ^a   Menenti, M ^a   Li, Zhao Liang ^a  

^a UNIVERSITÉ DE STRASBOURG   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA COMPRESSION; DATA REDUCTION; FEATURE EXTRACTION; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SPECTROMETERS;

HYPERSPECTRAL IMAGES; LAND COVERS;

REMOTE SENSING;

EID: 0242540554     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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6. Yuji Hirosawa, Stuart E. Marsh and Douglas H. Kliman, "Application of Standardized Principal Component Analysis to Land-Cover Characterization Using Multitemporal AVHRR Data," Remote Sensing of Environment, 1996, pp. 267-281.
7. Swain, P. H., and Davis, S. M., Remote sensing:The quantitative Approach. McGraw Hill, New York, pp. 369, 1978.