The classification of synthetic aperture radar oil spill images based on the texture features and deep belief network

Lecture Notes in Electrical Engineering

Volumn 277 LNEE, Issue , 2014, Pages 661-669

  Huang, Xixi ^a   Wang, Xiaofeng ^a  

^a SHANGHAI MARITIME UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER NETWORKS; FEATURE EXTRACTION; OIL SPILLS;

CLASSIFICATION ACCURACY; DEEP BELIEF NETWORK (DBN); DEEP BELIEF NETWORKS; GABOR WAVELET FEATURES; GLCM FEATURE; GRAY LEVEL CO-OCCURRENCE MATRIX; IMAGES CLASSIFICATION; TEXTURE FEATURES;

SYNTHETIC APERTURE RADAR;

EID: 84958546125     PISSN: 18761100     EISSN: 18761119     Source Type: Book Series    
DOI: 10.1007/978-3-319-01766-2_76     Document Type: Conference Paper

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