Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66802
Title: Novel approach to unsupervised change detection based on a robust semi-supervised FCM clustering algorithm
Authors: Shao, P
Shi, WZ 
He, PF
Hao, M
Zhang, XK
Keywords: Robust semi-supervised fuzzy C-means
Thresholding
Remote sensing
Clustering with partial supervision
Unsupervised change detection
Fuzzy C-means
Issue Date: 2016
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Remote sensing, Mar. 2016, v. 8, no. 3 How to cite?
Journal: Remote sensing 
URI: http://hdl.handle.net/10397/66802
EISSN: 2072-4292
DOI: 10.3390/rs8030264
Appears in Collections:Journal/Magazine Article

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