Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification

Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015

Volumn , Issue , 2015, Pages 324-329

  Chen, Chen ^a   Zhou, Libing ^b   Guo, Jianzhong ^a,b   Li, Wei ^c   Su, Hongjun ^d   Guo, Fangda ^e  

^a The University of Texas at Dallas   (United States)

^b WUHAN TEXTILE UNIVERSITY   (China)

^c BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^d HOHAI UNIVERSITY   (China)

^e UNIVERSITY OF PAVIA   (Italy)

Author keywords

extreme learning machine; Gabor filtering; land use sence classification; local binary patterns

Indexed keywords

BIG DATA; CLASSIFICATION (OF INFORMATION); IMAGE SEGMENTATION; IMAGE TEXTURE; LAND USE; LEARNING SYSTEMS; REMOTE SENSING; TEXTURES; URBAN GROWTH; WEATHER FORECASTING;

EXTREME LEARNING MACHINE; GABOR FILTERING; HISTOGRAM FEATURES; IMAGE REPRESENTATIONS; LOCAL BINARY PATTERNS; LOCAL TEXTURE FEATURE; SCENE CLASSIFICATION; TEXTURE INFORMATION;

GABOR FILTERS;

EID: 84941204620     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigMM.2015.23     Document Type: Conference Paper

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