Why Principal Component Analysis is not an Appropriate Feature Extraction Method for Hyperspectral Data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 6, Issue , 2003, Pages 3420-3421

  Cheriyadat, Anil ^a   Bruce, Lori Mann ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

Author keywords

Dimensionality reduction; Feature extraction; Karhunen Loeve transform; Principal component analysis

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATA COMPRESSION; DATA REDUCTION; EIGENVALUES AND EIGENFUNCTIONS; FEATURE EXTRACTION; MATRIX ALGEBRA; PRINCIPAL COMPONENT ANALYSIS;

DIMENSIONALITY REDUCTION; HYPERSPECTRAL SENSORS;

REMOTE SENSING;

EID: 0242709857     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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