NDLI: Optimal texture image reconstruction method for improvement of SAR image matching

Content Provider	IET Digital Library
Author	Ghannadi, Mohammad Amin Seresht, Mohammad Saadat Izadi, Moein Alebooye, Saeedeh
Abstract	Image matching is an important step that is taken in most synthetic aperture radar (SAR) images applications. In this study, a method is proposed for texture image reconstruction to improve SAR image matching. This method consists of three major steps. First, textural features are extracted. Second optimal texture images (OTIs) are created using extracted features. Texture optimisation is conducted using a cat swarm optimisation algorithm. The cost function is the number of correct matched points that are obtained from speeded-up robust features (SURFs) image matching algorithm. Finally, corresponding points on stereo OTI pairs are matched. Experiments were conducted on spaceborne SAR image pairs consist of RADARSAT-2, ALOS-PALSAR, and Sentinel-1. Results demonstrate that the proposed method has better results in terms of the number of matched points compared to the result of the original SURF and scale-invariant feature transform methods as two common matching methods.
Starting Page	1229
Ending Page	1235
Page Count	7
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 8, Aug (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2020.0058
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-04-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cat Swarm Optimisation Algorithm Common Matching Method Computer Vision And Image Processing Technique Correct Matched Points Feature Extraction Image Matching Image Recognition Image Reconstruction Image Texture Optical, Image And Video Signal Processing Optimal Texture Image Optimal Texture Image Reconstruction Method Optimisation Technique Radar Equipment Radar Imaging Remote Sensing by Radar Robust Feature Image Matching Algorithm SAR Image Matching Spaceborne Radar Spaceborne SAR Image Pairs Statistics Synthetic Aperture Radar Synthetic Aperture Radar Image Application System And Application Textural Feature Texture Optimisation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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