SAR image change detection using modified statistical region merging

2015 ◽  
Author(s):  
Han Zhang ◽  
Weiping Ni ◽  
Weidong Yan ◽  
Hui Bian ◽  
Junzheng Wu ◽  
...  
Keyword(s):  
Change Detection ◽  
Sar Image ◽  
Region Merging ◽  
Image Change Detection ◽  
Statistical Region Merging

scholarly journals Fast SAR Image Change Detection Using Bayesian Approach Based Difference Image and Modified Statistical Region Merging

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Han Zhang ◽  
Weiping Ni ◽  
Weidong Yan ◽  
Hui Bian ◽  
Junzheng Wu
Keyword(s):  
Change Detection ◽  
Bayesian Approach ◽  
Generation Process ◽  
Sar Image ◽  
Region Merging ◽  
Difference Image ◽  
Leibler Divergence ◽  
Image Change Detection ◽  
Log Ratio ◽  
Statistical Region Merging

A novel fast SAR image change detection method is presented in this paper. Based on a Bayesian approach, the prior information that speckles follow the Nakagami distribution is incorporated into the difference image (DI) generation process. The new DI performs much better than the familiar log ratio (LR) DI as well as the cumulant based Kullback-Leibler divergence (CKLD) DI. The statistical region merging (SRM) approach is first introduced to change detection context. A new clustering procedure with the region variance as the statistical inference variable is exhibited to tailor SAR image change detection purposes, with only two classes in the final map, the unchanged and changed classes. The most prominent advantages of the proposed modified SRM (MSRM) method are the ability to cope with noise corruption and the quick implementation. Experimental results show that the proposed method is superior in both the change detection accuracy and the operation efficiency.

scholarly journals SAR image change detection based on equal weight image fusion and adaptive threshold in the NSST domain

2018 ◽  
Vol 51 (1) ◽  
pp. 785-794 ◽  
Author(s):  
Zhou Wenyan ◽  
Jia Zhenhong ◽  
Yinfeng Yu ◽  
Jie Yang ◽  
Nilola Kasabov
Keyword(s):  
Change Detection ◽  
Image Fusion ◽  
Adaptive Threshold ◽  
Equal Weight ◽  
Sar Image ◽  
Image Change Detection

scholarly journals SAR Image Change Detection Based on Multi-scale Feature Extraction

2021 ◽  
Vol 10 (4) ◽  
pp. 077-081
Author(s):  
Xiaoqian Yuan ◽  
Chao Chen ◽  
Shan Tian ◽  
Jiandan Zhong
Keyword(s):  
Feature Extraction ◽  
Change Detection ◽  
Speckle Noise ◽  
Kernel Matrix ◽  
Sar Image ◽  
Scale Feature ◽  
Difference Image ◽  
Multi Scale ◽  
Image Change Detection ◽  
The Difference

In order to improve the contrast of the difference image and reduce the interference of the speckle noise in the synthetic aperture radar (SAR) image, this paper proposes a SAR image change detection algorithm based on multi-scale feature extraction. In this paper, a kernel matrix with weights is used to extract features of two original images, and then the logarithmic ratio method is used to obtain the difference images of two images, and the change area of the images are extracted. Then, the different sizes of kernel matrix are used to extract the abstract features of different scales of the difference image. This operation can make the difference image have a higher contrast. Finally, the cumulative weighted average is obtained to obtain the final difference image, which can further suppress the speckle noise in the image.

scholarly journals SAR image change detection based on Memetic algorithm

2012 ◽  
Vol 31 (1) ◽  
pp. 67-72
Author(s):  
Fang-Fang XIN ◽  
Li-Cheng JIAO ◽  
Gui-Ting WANG
Keyword(s):  
Change Detection ◽  
Memetic Algorithm ◽  
Sar Image ◽  
Image Change Detection
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