An ICA based approach to hyperspectral image feature reduction

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2014, Pages 3470-3473

  Falco, Nicola ^a,b   Bruzzone, Lorenzo ^a   Benediktsson, Jon Atli ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b UNIVERSITY OF ICELAND   (Iceland)

Author keywords

Feature Reduction; Genetic Algorithm (GA); Hypersepctral Images; Independent Component Analysis (ICA); Remote Sensing; Supervised Classification

Indexed keywords

GENETIC ALGORITHMS; IMAGE ANALYSIS; REMOTE SENSING; SPECTROSCOPY; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES;

CLASSIFICATION ACCURACY; FEATURE REDUCTION; HYPERSEPCTRAL IMAGES; INDEPENDENT COMPONENT ANALYSES (ICA); INDEPENDENT COMPONENTS; RECONSTRUCTION ERROR; SEARCHING STRATEGY; SUPERVISED CLASSIFICATION;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84911412612     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2014.6947229     Document Type: Conference Paper

References (6)

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4. N. Falco, L. Bruzzone, and J. A. Benediktsson, "A Comparative Study of Different ICA Algorithms for Hyperspectral Image Analysis," in 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS '13), Gainesville, Florida, 2013.
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