An empirical mode decomposition and composite kernel approach to increase hyperspectral image classification accuracy

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2, Issue , 2009, Pages

  Demir, Begüm ^a   Ertürk, Sarp ^a  

^a KOCAELI UNIVERSITY   (Turkey)

Author keywords

Composite kernels; Empirical mode decomposition; Support vector machine

Indexed keywords

CLASSIFICATION ACCURACY; COMPOSITE KERNELS; EMPIRICAL MODE DECOMPOSITION; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; INTRINSIC MODE FUNCTIONS; SIGNAL DECOMPOSITION;

GEOLOGY; IMAGE ANALYSIS; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; REMOTE SENSING; SUPPORT VECTOR MACHINES;

SIGNAL PROCESSING;

EID: 77951113646     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2009.5418230     Document Type: Conference Paper

References (11)

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