Deep learning for extracting water body from landsat imagery

International Journal of Innovative Computing, Information and Control

Volumn 11, Issue 6, 2015, Pages 1913-1929

  Yang, Liu ^a,b,c   Tian, Shengwei ^a,b,c   Yu, Long ^a,b,c   Ye, Feiyue ^b,c   Qian, Jin ^b,c   Qian, Yurong ^a  

^a XINJIANG UNIVERSITY   (China)

^b Key Laboratory of Cloud Computing and Intelligent Information Processing of Changzhou City   (China)

^c JIANGSU UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Deep Learning; Feature expansion algorithm; Stacked sparse autoencoders; Unsupervised feature learning; Water body extraction

Indexed keywords

IMAGE RECOGNITION; LEARNING SYSTEMS; PIXELS; REMOTE SENSING; SUPPORT VECTOR MACHINES;

AUTOENCODERS; DEEP LEARNING; DIFFERENT TERRAINS; HIERARCHICAL FEATURES; NEURAL NETWORK (NN); REMOTE SENSING DATA; UNSUPERVISED FEATURE LEARNING; WATERBODIES;

EXTRACTION;

EID: 84958755668     PISSN: 13494198     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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