NDLI: Efficient method for outlier removal in SAR image matching based on epipolar geometry

Content Provider	IET Digital Library
Author	Ghannadi, Mohammad Amin Saadatseresht, Mohammad
Abstract	A method is proposed for removing falsely matched points after sparse matching in synthetic aperture radar (SAR) images. This method uses epipolar geometry as well as random sample consensus (RANSAC) to automatically remove false matches (outliers) among all points. The method randomly selects at least four points among all matched points. Then, using a bilinear equation, a generic relation is established between the pixel coordinates of a reference point in the master image and the parameters of the corresponding epipolar line in the slave image. Therefore, it is possible to calculate the epipolar line for all points using the bilinear function and then evaluate the accuracy of the matched points. Moreover, the proposed method is compared with the method that uses the RANSAC with an affine function, which is a common method for removing outliers. Here, the output of the scale-invariant feature transform algorithm is used to conduct the experiments. Furthermore, the SAR image pairs from southern Iran are utilised to evaluate the performance of the method. Experiments are conducted on TerraSAR-X images, and the results demonstrate that the proposed method has high reliability for removing false matches.
Starting Page	1307
Ending Page	1312
Page Count	6
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 11, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5203
Journal	IET Radar, Sonar & Navigation
Publisher Date	2018-08-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Affine Function Bilinear Function Combinatorial Mathematics Epipolar Geometry Epipolar Line Calculation Feature Extraction Geometry Image Matching Image Recognition Image Resolution Integral Transforms in Numerical Analysis Interpolation And Function Approximation Iterative Method Master Image Numerical Analysis Outlier Removal Pixel Coordinate Radar Equipment Radar Imaging Random Sample Consensus RANSAC Reference Point SAR Image Matching SAR Image Pairs Scale-invariant Feature Transform Algorithm Slave Image Southern Iran Sparse Matching Synthetic Aperture Radar Synthetic Aperture Radar Image System And Application TerraSAR-X Image Transform
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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