A robust fuzzy c-means algorithm based on diffusion equation for sar image segmentation

2017 ◽  
Author(s):  
Ling Wan ◽  
Tao Zhang ◽  
Hongjian You
Keyword(s):  
Image Segmentation ◽  
Diffusion Equation ◽  
Sar Image ◽  
Fuzzy C Means ◽  
Sar Image Segmentation ◽  
Fuzzy C Means Algorithm

Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation

2013 ◽  
Vol 93 (2) ◽  
pp. 487-499 ◽  
Author(s):  
Jie Feng ◽  
L.C. Jiao ◽  
Xiangrong Zhang ◽  
Maoguo Gong ◽  
Tao Sun
Keyword(s):  
Image Segmentation ◽  
Sar Image ◽  
Edge Preservation ◽  
Fuzzy C Means ◽  
Sar Image Segmentation ◽  
Non Local ◽  
Fuzzy C Means Algorithm

scholarly journals SAR Image Segmentation Based on Improved Grey Wolf Optimization Algorithm and Fuzzy C-Means

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
M. Q. Li ◽  
L. P. Xu ◽  
Na Xu ◽  
Tao Huang ◽  
Bo Yan
Keyword(s):  
Image Segmentation ◽  
Differential Evolution ◽  
State Of The Art ◽  
Sar Image ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Fcm Algorithm ◽  
Fuzzy C Means ◽  
Sar Image Segmentation ◽  
Segmentation Approach

An improved Grey Wolf Optimization (GWO) algorithm with differential evolution (DEGWO) combined with fuzzy C-means for complex synthetic aperture radar (SAR) image segmentation was proposed for the disadvantages of traditional optimization and fuzzy C-means (FCM) in image segmentation precision. In the process of image segmentation based on FCM algorithm, the number of clusters and initial centers estimation is regarded as a search procedure that searches for an appropriate value in a greyscale interval. Hence, an improved differential evolution Grey Wolf Optimization (DE-GWO) algorithm is introduced to search for the optimal initial centers; then the image segmentation approach which bases its principle on FCM algorithm will get a better result. Experimental results in this work infers that both the precision and efficiency of the proposed method are superior to those of the state of the art.

Hierarchical fusion convolutional neural networks for SAR image segmentation

2021 ◽  
Vol 147 ◽  
pp. 115-123
Author(s):  
Yinyin Jiang ◽  
Ming Li ◽  
Peng Zhang ◽  
Xiaofeng Tan ◽  
Wanying Song
Keyword(s):  
Neural Networks ◽  
Image Segmentation ◽  
Convolutional Neural Networks ◽  
Sar Image ◽  
Sar Image Segmentation

Optimal approach to SAR image segmentation and classification

2000 ◽  
Vol 147 (3) ◽  
pp. 134 ◽  
Author(s):  
D. Stewart ◽  
D. Blacknell ◽  
A. Blake ◽  
R. Cook ◽  
C. Oliver
Keyword(s):  
Image Segmentation ◽  
Sar Image ◽  
Sar Image Segmentation ◽  
Optimal Approach
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