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...
Kaydedildi:
| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2015-12-01
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| Seri Bilgileri: | Egyptian Journal of Remote Sensing and Space Sciences |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S1110982315000575 |
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