Jin Tian, Zhou Zhi-min, Song Qian, Chang Wen-ge. Focusing and Locating of Subsurface Landmines in Ultra-wideband SAR[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2384-2387. doi: 10.3724/SP.J.1146.2006.00404
Citation:
Jin Tian, Zhou Zhi-min, Song Qian, Chang Wen-ge. Focusing and Locating of Subsurface Landmines in Ultra-wideband SAR[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2384-2387. doi: 10.3724/SP.J.1146.2006.00404
Jin Tian, Zhou Zhi-min, Song Qian, Chang Wen-ge. Focusing and Locating of Subsurface Landmines in Ultra-wideband SAR[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2384-2387. doi: 10.3724/SP.J.1146.2006.00404
Citation:
Jin Tian, Zhou Zhi-min, Song Qian, Chang Wen-ge. Focusing and Locating of Subsurface Landmines in Ultra-wideband SAR[J]. Journal of Electronics & Information Technology, 2007, 29(10): 2384-2387. doi: 10.3724/SP.J.1146.2006.00404
Air- or vehicle-borne Ultra-WideBand Synthetic Aperture Radar (UWB SAR) can detect landmines or minefields over large area quickly, which is a trend of landmine detection. Traditional image formations, based on even medium assumption, are not suitable to the subsurface target imaging. In this paper, a subsurface target echo model is firstly developed to analyze the refraction and dispersion effects on imaging quantitatively. Based on the model, Subsurface Back-Projection (SBP) image formation is used to compensate the refraction and dispersion effects in echo domain and image domain, respectively. Unfortunately, prior knowledge of target buried depth and incident angle cannot be obtained in landmine detection over undiscovered areas. In order to solve the problem, a hierarchical processing procedure with coarse and fine compensation is proposed on SBP image formation in image domain, which realizes multi-target focusing and locating over wide areas. Finally, the proposed methods are verified using real data collected with the Rail-GPSAR landmine detection experimental system.
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