Change detection based on pulse-coupled neural networks and the NMI feature for high spatial resolution remote sensing imagery

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 3, 2015, Pages 537-541

  Zhong, Yanfei ^a   Liu, Wenfeng ^a   Zhao, Ji ^a   Zhang, Liangpei ^a  

^a WUHAN UNIVERSITY   (China)

Author keywords

Change detection; high spatial resolution (HSR) imagery; normalized moment of inertia (NMI) feature; pulse coupled neural networks (PCNN); remote sensing

Indexed keywords

BINARY IMAGES; FEATURE EXTRACTION; IMAGE RESOLUTION; MAXIMUM PRINCIPLE; NEURAL NETWORKS; SIGNAL DETECTION;

CHANGE DETECTION; CHANGE DETECTION ALGORITHMS; EXPECTATION - MAXIMIZATIONS; HIGH SPATIAL RESOLUTION; NORMALIZED MOMENT OF INERTIA (NMI); PULSE COUPLED NEURAL NETWORK; REMOTE SENSING IMAGERY; REMOTE SENSING IMAGES;

REMOTE SENSING;

EID: 84907486524     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2014.2349937     Document Type: Article

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