A context sensitive techniques for unsupervised change detection based on hopfiled type neural networks

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dc.contributor.authorGhosh, Susmita
dc.contributor.authorBruzzone, Lorenzo
dc.contributor.authorPatra, Swarnajyoti
dc.contributor.authorBovolo, Francesca
dc.contributor.authorGhosh, Ashish
dc.date.accessioned2011-09-20T11:41:32Z
dc.date.available2011-09-20T11:41:32Z
dc.date.issued2007
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, v.45, no.3, p.778-789en_US
dc.identifier.urihttp://hdl.handle.net/10263/2590
dc.language.isoenen_US
dc.subjectChange detectionen_US
dc.subjectContext-sensitive image analysisen_US
dc.subjectHopfield neural networken_US
dc.subjectMultitemporal imagesen_US
dc.subjectRemote sensingen_US
dc.subjectThresholdingen_US
dc.titleA context sensitive techniques for unsupervised change detection based on hopfiled type neural networksen_US
dc.typeArticleen_US

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