Hyperspectral Band Selection Based on Rough Set

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 10, 2015, Pages 5495-5503

  Patra, Swarnajyoti ^a   Modi, Prahlad ^b   Bruzzone, Lorenzo ^c  

^a TEZPUR UNIVERSITY   (India)

^b School of Mathematics and Computer Application   (India)

^c UNIVERSITY OF TRENTO   (Italy)

Author keywords

Feature extraction; Feature selection; Hyperspectral imagery; Remote sensing; Rough sets; Support vector machine (SVM)

Indexed keywords

FEATURE EXTRACTION; FORMAL LOGIC; REMOTE SENSING; SET THEORY; SPECTROSCOPY; SUPPORT VECTOR MACHINES;

BAND SELECTION; HYPER-SPECTRAL IMAGERIES; HYPERSPECTRAL; HYPERSPECTRAL DATA; NOVEL CRITERION; ROUGH-SET BASED; STATE-OF-THE-ART METHODS; SUPERVISED METHODS;

ROUGH SET THEORY;

ASSESSMENT METHOD; COMPUTER SIMULATION; DATA SET; LITERATURE REVIEW; PARADIGM SHIFT; REMOTE SENSING; SPECTRAL ANALYSIS; SUPPORT VECTOR MACHINE; TECHNOLOGICAL CHANGE; UNCERTAINTY ANALYSIS;

EID: 85027939668     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2424236     Document Type: Article

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