SAR Image Registration Using an Improved SAR-SIFT Algorithm and Delaunay-Triangulation-Based Local Matching

Author(s):  
Sourabh Paul ◽  
Umesh Chandra Pati
2020 ◽  
Vol 14 (5) ◽  
pp. 929-938
Author(s):  
Divya S V ◽  
Sourabh Paul ◽  
Umesh Chandra Pati

2021 ◽  
Author(s):  
JiaZheng Sun ◽  
Hui Wang ◽  
ShiChao Zheng ◽  
ZhaoYang Zeng ◽  
Xiang Chen ◽  
...  

2012 ◽  
Vol 241-244 ◽  
pp. 2630-2637
Author(s):  
Chun Rong Wei ◽  
Chu He ◽  
Hong Sun

In order to reduce the noise sensitivity of the SAR (synthetic aperture radar) image registration, a image registration algorithm which basing on the ratio mutual information (RatioMI) is proposed in this paper. Firstly, the ratio images of the reference image and the floating image are gotten by using the ratio operator, and then take the two ratio images as a similar characteristic quantity to construct the similarity measure function which was used in the optimization process of the image registration experiment. The experimental results of the SAR image registration show that the new registration algorithm which based on the RatioMI is effectively in avoiding the local maxima point problems causing by speckle noise.


2016 ◽  
Vol 13 (2) ◽  
pp. 242-246 ◽  
Author(s):  
Fuqiang Liu ◽  
Fukun Bi ◽  
Liang Chen ◽  
Hao Shi ◽  
Wei Liu

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