International Journal of
Physical Sciences

  • Abbreviation: Int. J. Phys. Sci.
  • Language: English
  • ISSN: 1992-1950
  • DOI: 10.5897/IJPS
  • Start Year: 2006
  • Published Articles: 2557

Full Length Research Paper

Object recognitions in RADARSAT-1 SAR data using fuzzy classification

Maged Marghany1*, Mazlan Hashim1 and Farideh Moradi2
1Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia,81310 UTM, Skudai, Johore Bahru, Malaysia. 2Faculty of Physics, Science  and Research Branch, Islamic Azad University, Tehran, Iran.
Email: [email protected]

  •  Accepted: 24 March 2011
  •  Published: 18 August 2011

Abstract

This study is aimed to utilize fuzzy classification for different object detections that is urban, infrastructure and coastal water in RADARSAT-1 SAR S2 mode data. Prior to fuzzy classification, Lee algorithm with kernel window sizes of 7 × 7 pixels and lines is implemented to S2 mode data. Indeed, speckle reduction is performed using Lee algorithm. The results show that Lee algorithm is able to provide excellent information about linear infrastructure and urban features in SAR data. Further, fuzzy classification can discriminate between urban zone and coastal waters. In conclusion, the integration between Lee algorithm and fuzzy classification can be used for different object recognitions in S2 mode data.

 

Key words: RADARSAT-1 SAR, fuzzy classification, Lee algorithm, object recognitions.

Copyright © 2023 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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