Integration of Gibbs Markov random field and Hopfield-type neural networks for unsupervised change detection in remotely sensed multitemporal images

In this paper, a spatiocontextual unsupervised change detection technique for multitemporal, multispectral remote sensing images is proposed. The technique uses a Gibbs Markov random field (GMRF) to model the spatial regularity between the neighboring pixels of the multitemporal difference image. Th...

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Bibliographische Detailangaben

Veröffentlicht in:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 22(2013), 8 vom: 07. Aug., Seite 3087-96
1. Verfasser:	Ghosh, Ashish (VerfasserIn)
Weitere Verfasser:	Subudhi, Badri Narayan, Bruzzone, Lorenzo
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2013
Zugriff auf das übergeordnete Werk:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't