Semi-supervised change detection approach combining sparse fusion and constrained k means for multi-temporal remote sensing images

Change detection is the measure of the thematic change information that can guide to more tangible insights into an underlying process involving land cover, land usage and environmental changes. This paper deals with a semi-supervised change detection approach combining sparse fusion and constrained...

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Hlavní autoři:	Anisha M. Lal, S. Margret Anouncia
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2015-12-01
Edice:	Egyptian Journal of Remote Sensing and Space Sciences
Témata:	Multi-temporal Sparse representation Constrained k means Remote sensing
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S1110982315000575
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