A novel edge-weight based fuzzy clustering method for change detection in SAR images-Reference-Cited by-同舟云学术

A novel edge-weight based fuzzy clustering method for change detection in SAR images

Published:2018-10 Issue: Volume:467 Page:415-430
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Tian Dayong,Gong Maoguo^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference37 articles.

1. Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems;Beck;IEEE Trans. Image Process.,2009

2. A new twist: two-step iterative shrinkage/thresholding algorithms for image restoration;Bioucas-Dias;IEEE Trans. Image Process.,2007

3. Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution;Bosc;Neuroimage,2003

4. Application of log-cumulants to the detection of spatiotemporal discontinuities in multitemporal sar images;Bujor;IEEE Trans. Geosci. Remote Sens.,2004

5. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation;Cai;Pattern Recognit.,2007

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