scholarly journals On Feature-Based SAR Image Registration: Appropriate Feature and Retrieval Algorithm

2019 ◽  
Author(s):  
Dong Li ◽  
Yunhua Zhang ◽  
Xiaojin Shi
Keyword(s):  
Image Registration ◽  
Retrieval Algorithm ◽  
Sar Image ◽  
Feature Based

scholarly journals A Point Pattern Chamfer Registration of Optical and SAR Images Based on Mesh Grids

2018 ◽  
Vol 10 (11) ◽  
pp. 1837 ◽  
Author(s):  
Chu He ◽  
Peizhang Fang ◽  
Dehui Xiong ◽  
Wenwei Wang ◽  
Mingsheng Liao
Keyword(s):  
Image Registration ◽  
Feature Matching ◽  
Point Pattern ◽  
Sar Image ◽  
Sar Images ◽  
Coarse Registration ◽  
Feature Based ◽  
Mesh Grid ◽  
Coarse To Fine ◽  
Fine Registration

Automatic image registration of optical-to-Synthetic aperture radar (SAR) images is difficult because of the inconsistency of radiometric and geometric properties between the optical image and the SAR image. The intensity-based methods may require many calculations and be ineffective when there are geometric distortions between these two images. The feature-based methods have high requirements on features, and there are certain challenges in feature extraction and matching. A new automatic optical-to-SAR image registration framework is proposed in this paper. First, modified holistically nested edge detection is employed to detect the main contours in both the optical and SAR images. Second, a mesh grid strategy is presented to perform a coarse-to-fine registration. The coarse registration calculates the feature matching and summarizes the preliminary results for the fine registration process. Finally, moving direct linear transformation is introduced to perform a homography warp to alleviate parallax. The experimental results show the effectiveness and accuracy of our proposed method.

scholarly journals Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation

2021 ◽  
Vol 205 ◽  
pp. 106085
Author(s):  
Monire Sheikh Hosseini ◽  
Mahammad Hassan Moradi ◽  
Mahdi Tabassian ◽  
Jan D'hooge
Keyword(s):  
Image Registration ◽  
Motion Estimation ◽  
Cardiac Motion ◽  
Inference System ◽  
Feature Based

scholarly journals Robust SAR Image Registration Using Rank-Based Ratio Self-similarity

2021 ◽  
Vol 14 ◽  
pp. 2358-2368
Author(s):  
Xin Xiong ◽  
Guowang Jin ◽  
Qing Xu ◽  
Hongmin Zhang
Keyword(s):  
Image Registration ◽  
Sar Image ◽  
Self Similarity

A Comparison of Image Registration Methods Used for Printed Circuit Board Inspection

2008 ◽  
Vol 381-382 ◽  
pp. 295-298
Author(s):  
Shin Chieh Lin ◽  
C.T. Chen ◽  
C.H. Chou
Keyword(s):  
Image Registration ◽  
Printed Circuit Board ◽  
Circuit Board ◽  
Loading Test ◽  
Area Method ◽  
Printed Circuit ◽  
Feature Based ◽  
Position And Orientation ◽  
Inspection Machine

In this study, registration methods used to estimate both position and orientation differences between two images had been evaluated. This is an important issue since that there are always some position and orientation differences when loading test samples on the inspection machine. These differences should be calculated and compensated before further analysis. Registration methods tested including one area method and three feature based method. It was shown that the area method had better performance than other feature based method in these cases studied. And it is shown that it is much easy to detect defect by analyzing the subtracted image with position and orientation compensation instead of those without compensation.

Multi-view SAR image registration based on feature extraction

2021 ◽  
Author(s):  
JiaZheng Sun ◽  
Hui Wang ◽  
ShiChao Zheng ◽  
ZhaoYang Zeng ◽  
Xiang Chen ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Image Registration ◽  
Sar Image

scholarly journals Efficient feature-based image registration by mapping sparsified surfaces

2018 ◽  
Vol 55 ◽  
pp. 561-571 ◽  
Author(s):  
Chun Pang Yung ◽  
Gary P.T. Choi ◽  
Ke Chen ◽  
Lok Ming Lui
Keyword(s):  
Image Registration ◽  
Feature Based

SAR Image Registration Using Ratio Mutual Information

2012 ◽  
Vol 241-244 ◽  
pp. 2630-2637
Author(s):  
Chun Rong Wei ◽  
Chu He ◽  
Hong Sun
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Speckle Noise ◽  
Synthetic Aperture Radar Image ◽  
Reference Image ◽  
Sar Image ◽  
Local Maxima ◽  
Characteristic Quantity ◽  
Registration Algorithm ◽  
Image Registration Algorithm

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.

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