DocumentCode :
643748
Title :
Landmine-enhanced imaging based on migratory scattering in ultra-wideband synthetic aperture radar
Author :
Liang Fu-lai ; Zhang Han-hua ; Wang Yu-ming ; Song Qian ; Zhou Zhi-min
Author_Institution :
Sch. of Electron. Sci. & Eng., NUDT, Changsha, China
fYear :
2013
fDate :
5-8 Aug. 2013
Firstpage :
1
Lastpage :
4
Abstract :
Ultra-wideband Synthetic Aperture Radar (UWB SAR) imaging presents numerous challenges, but also opportunities to extract object-level information. The phenomenon of migratory scattering, which describes the aspect dependent spatial location of scattering center, is a source of information that can be mined for details about shape and size of objects. In this paper, we firstly analyze the migratory scattering phenomenon of landmine, and then a method of migratory scattering extraction is proposed. Further, we directly form the migratory scattering image instead of the conventional SAR image. Compared with the conventional SAR image, the migratory scattering image can show the information of type and size better. In the migratory scattering image, the landmine exhibits part of a circle. We can enhance landmine by circular Hough transform the migratory scattering image the migratory scattering image easily. The electromagnetic simulation result demonstrates the effectiveness of the proposed method.
Keywords :
Hough transforms; electromagnetic wave scattering; landmine detection; radar imaging; synthetic aperture radar; ultra wideband radar; UWB SAR imaging; aspect dependent spatial location; circular Hough transform; landmine-enhanced imaging; migratory scattering extraction; migratory scattering image; migratory scattering phenomenon; object level information; ultra wideband synthetic aperture radar imaging; Image resolution; Image sequences; Imaging; Landmine detection; Scattering; Synthetic aperture radar; Transforms; Landmine-Enhanced Imaging; Migratory scattering; Ultra-wideband Synthetic Aperture Radar (UWB SAR);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, Communication and Computing (ICSPCC), 2013 IEEE International Conference on
Conference_Location :
KunMing
Type :
conf
DOI :
10.1109/ICSPCC.2013.6664068
Filename :
6664068
Link To Document :
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