Improvement in SAR Image Matching Features using Computational Intelligence Techniques

Rupesh Mishra , Vimal Kumar Parganiha

Keywords: Synthetic aperture radar, Particle swarm optimization, soft computing

Abstract—Synthetic Aperture Radar (SAR) imaging which is used to create image of objects such as landscapes, remote sensing and mappings. The problem of various methods for improvement in SAR image matching features such as noise interference and deviated edges can be improved by using proposed technique. Particle swarm optimization is the nature inspired computational search and optimization approach which was developed on the basis of behavior of swarm. Recently each and every field of research is utilizing the properties of PSO. One of the popular fields of research is image segmentation and matching features which is also fastest growing field. Taking the advantages of combining PSO with different image segmentation technique many researchers has proposed various research papers with enhancement of various parameters. In this paper we surveyed some paper and try to provide recent trends and techniques involved in improvement in SAR imaging matching features with PSO a computational intelligence technique.

Published Paper   E-Certificate

"Improvement in SAR Image Matching Features using Computational Intelligence Techniques", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 11, page no.126 - 129, November-2016, Available :https://ijsdr.org/papers/IJSDR1611022.pdf

Volume 1 Issue 11, November-2016

Pages : 126 - 129

Paper Reg. ID: IJSDR_160942

Published Paper Id: IJSDR1611022

Downloads: 000347046

Research Area: Engineering

Country: Korba East, Chhattisgarh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1611022

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1611022

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition