Sub-pixel change detection for urban land-cover analysis via multi-temporal remote sensing images

Geo-Spatial Information Science

Volumn 17, Issue 1, 2014, Pages 26-38

  Du, Peijun ^a   Liu, Sicong ^b   Liu, Pei ^c   Tan, Kun ^c   Cheng, Liang ^a  

^a NANJING UNIVERSITY   (China)

^b UNIVERSITY OF TRENTO   (Italy)

^c CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Back propagation neural network; Change detection; Multi temporal images; Remote sensing; Spectral mixture model; Sub pixel level processing

Indexed keywords

BACKPROPAGATION; CHEMICAL DETECTION; LAND USE; MIXTURES; PIXELS; SEMANTICS;

BACK PROPAGATION NEURAL NETWORKS; CHANGE DETECTION; MULTI-TEMPORAL IMAGE; SPECTRAL MIXTURE MODEL; SUB PIXELS;

REMOTE SENSING;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DETECTION METHOD; IMAGE ANALYSIS; LAND COVER; NUMERICAL MODEL; PIXEL; REMOTE SENSING; URBAN AREA;

EID: 84987932377     PISSN: 10095020     EISSN: None     Source Type: Journal    
DOI: 10.1080/10095020.2014.889268     Document Type: Article

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