SAR Image Change Detection Using Modified Gauss-Log Ratio Operator and Convolution Neural Network

2021 ◽  
pp. 223-232
Author(s):  
Chanchal Ghosh ◽  
Dipankar Majumdar ◽  
Bikromadittya Mondal
Keyword(s):  
Neural Network ◽  
Change Detection ◽  
Convolution Neural Network ◽  
Sar Image ◽  
Image Change Detection ◽  
Log Ratio

Sar Image Change Detection via a Few-Shot Learning-Based Neural Network

2021 ◽  
Author(s):  
Rongfang Wang ◽  
Weidong Wang ◽  
Pinghai Dong ◽  
Wei Haojiang ◽  
Licheng Jiao ◽  
...  
Keyword(s):  
Neural Network ◽  
Change Detection ◽  
Sar Image ◽  
Image Change Detection

Dynamic Graph-Level Neural Network for SAR Image Change Detection

2021 ◽  
pp. 1-1
Author(s):  
Rongfang Wang ◽  
Liang Wang ◽  
Xiaohui Wei ◽  
Jia-Wei Chen ◽  
Licheng Jiao
Keyword(s):  
Neural Network ◽  
Change Detection ◽  
Sar Image ◽  
Dynamic Graph ◽  
Image Change Detection

Lightweight convolutional neural network for bitemporal SAR image change detection

2020 ◽  
Vol 14 (03) ◽  
pp. 1 ◽  
Author(s):  
Rongfang Wang ◽  
Fan Ding ◽  
Licheng Jiao ◽  
Jia-Wei Chen ◽  
Bo Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Change Detection ◽  
Convolutional Neural Network ◽  
Sar Image ◽  
Image Change Detection

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.

Graph-Level Neural Network for SAR Image Change Detection

2021 ◽  
Author(s):  
Rongfang Wang ◽  
Liang Wang ◽  
Pinghai Dong ◽  
Licheng Jiao ◽  
Jia-Wei Chen
Keyword(s):  
Neural Network ◽  
Change Detection ◽  
Sar Image ◽  
Image Change Detection

SAR Image Change Detection Method Based on Pulse-Coupled Neural Network

2016 ◽  
Vol 44 (3) ◽  
pp. 443-450 ◽  
Author(s):  
Rui Liu ◽  
Zhenhong Jia ◽  
Xizhong Qin ◽  
Jie Yang ◽  
Nikola Kasabov
Keyword(s):  
Neural Network ◽  
Change Detection ◽  
Detection Method ◽  
Sar Image ◽  
Pulse Coupled Neural Network ◽  
Image Change Detection
Sign in / Sign up

Export Citation Format

Share Document