A Non-Local Fuzzy C-Means Clustering Segmentation Algorithm Based on Comentropy and Between-Cluster Scatter Matrix to Overcome the Inherent Coherence Speckles of SAR Images-Reference-Cited by-同舟云学术

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A Non-Local Fuzzy C-Means Clustering Segmentation Algorithm Based on Comentropy and Between-Cluster Scatter Matrix to Overcome the Inherent Coherence Speckles of SAR Images

Published:2022-07-17 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Zhang Peng¹,Chen Yan¹,Chen Yunping¹

Affiliation:

1. School of Automation Engineering, University of Electronic Science and Technology of China,Chengdu,China,611731

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884294.pdf?arnumber=9884294

Reference7 articles.

1. Image Denoising By Non-Local Averaging

2. A Non-Local Algorithm for Image Denoising

3. A multiobjective approach to MR brain image segmentation

4. A Robust Nonlocal Fuzzy Clustering Algorithm With Between-Cluster Separation Measure for SAR Image Segmentation

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