Edge Detection in SAR images using phase stretch transform

Christos V Ilioudis, Carmine Clemente, Mohammad H Asghari, Bahram Jalali, John J Soraghan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

Abstract

In this work a novel approach to edge detection on Synthetic Aperture Radar (SAR) images is introduced. The proposed method uses an optics inspired transform which emulates the diffraction of an image through a medium with nonlinear dispersive properties. The experimental results show that the output of the introduced Phase Stretch Transform (PST) in conjunction with further morphological operations can be effectively used for image edge detection.
LanguageEnglish
Title of host publication2nd IET International Conference on Intelligent Signal Processing 2015 (ISP)
Place of PublicationStevenage
Number of pages5
DOIs
Publication statusPublished - 1 Dec 2015
Event2nd IET International Conference on Intelligent Signal Processing - Kensington Close Hotel, London, United Kingdom
Duration: 1 Dec 20152 Dec 2015

Conference

Conference2nd IET International Conference on Intelligent Signal Processing
CountryUnited Kingdom
CityLondon
Period1/12/152/12/15

Fingerprint

Edge detection
Synthetic aperture radar
Optics
Diffraction
Mathematical transformations

Keywords

  • radar imaging
  • synthetic aperture radar
  • transforms
  • edge detection
  • radar equipment
  • image recognition
  • internal transforms

Cite this

Ilioudis, C. V., Clemente, C., Asghari, M. H., Jalali, B., & Soraghan, J. J. (2015). Edge Detection in SAR images using phase stretch transform. In 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP) Stevenage. https://doi.org/10.1049/cp.2015.1786
Ilioudis, Christos V ; Clemente, Carmine ; Asghari, Mohammad H ; Jalali, Bahram ; Soraghan, John J. / Edge Detection in SAR images using phase stretch transform. 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Stevenage, 2015.
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abstract = "In this work a novel approach to edge detection on Synthetic Aperture Radar (SAR) images is introduced. The proposed method uses an optics inspired transform which emulates the diffraction of an image through a medium with nonlinear dispersive properties. The experimental results show that the output of the introduced Phase Stretch Transform (PST) in conjunction with further morphological operations can be effectively used for image edge detection.",
keywords = "radar imaging, synthetic aperture radar, transforms, edge detection, radar equipment, image recognition, internal transforms",
author = "Ilioudis, {Christos V} and Carmine Clemente and Asghari, {Mohammad H} and Bahram Jalali and Soraghan, {John J}",
note = "This paper is a postprint of a paper submitted to and accepted for publication in 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP) and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.",
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Ilioudis, CV, Clemente, C, Asghari, MH, Jalali, B & Soraghan, JJ 2015, Edge Detection in SAR images using phase stretch transform. in 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Stevenage, 2nd IET International Conference on Intelligent Signal Processing, London, United Kingdom, 1/12/15. https://doi.org/10.1049/cp.2015.1786

Edge Detection in SAR images using phase stretch transform. / Ilioudis, Christos V; Clemente, Carmine; Asghari, Mohammad H; Jalali, Bahram; Soraghan, John J.

2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Stevenage, 2015.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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T1 - Edge Detection in SAR images using phase stretch transform

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KW - synthetic aperture radar

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KW - radar equipment

KW - image recognition

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Ilioudis CV, Clemente C, Asghari MH, Jalali B, Soraghan JJ. Edge Detection in SAR images using phase stretch transform. In 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Stevenage. 2015 https://doi.org/10.1049/cp.2015.1786