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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Improvement in SAR Image Matching Features using Computational Intelligence Techniques |
| Authors Name: | Rupesh Mishra , Vimal Kumar Parganiha |
| Unique Id: | IJSDR1611022 |
| Published In: | Volume 1 Issue 11, November-2016 |
| Abstract: | 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. |
| Keywords: | Keywords: Synthetic aperture radar, Particle swarm optimization, soft computing |
| Cite Article: | "Improvement in SAR Image Matching Features using Computational Intelligence Techniques", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 11, page no.126 - 129, November-2016, Available :http://www.ijsdr.org/papers/IJSDR1611022.pdf |
| Downloads: | 000337073 |
| Publication Details: | Published Paper ID: IJSDR1611022 Registration ID:160942 Published In: Volume 1 Issue 11, November-2016 DOI (Digital Object Identifier): Page No: 126 - 129 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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