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15 October 2014 Analysis of discriminants for experimental 3D SAR imagery of human targets
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Abstract
Development of a prototype 3-D through-wall synthetic aperture radar (SAR) system is currently underway at Defence Research and Development Canada. The intent is to map out building wall layouts and to detect targets of interest and their location behind walls such as humans, arms caches, and furniture. This situational awareness capability can be invaluable to the military working in an urban environment. Tools and algorithms are being developed to exploit the resulting 3-D imagery. Current work involves analyzing signatures of targets behind a wall and understanding the clutter and multipath signals in a room of interest. In this paper, a comprehensive study of 3-D human target signature metrics in free space is presented. The aim is to identify features for discrimination of the human target from other targets. Targets used in this investigation include a human standing, a human standing with arms stretched out, a chair, a table, and a metallic plate. Several features were investigated as potential discriminants and five which were identified as good candidates are presented in this paper. Based on this study, no single feature could be used to fully discriminate the human targets from all others. A combination of at least two different features is required to achieve this.
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Brigitte Chan, Pascale Sévigny, and David D. J. DiFilippo "Analysis of discriminants for experimental 3D SAR imagery of human targets", Proc. SPIE 9244, Image and Signal Processing for Remote Sensing XX, 92441P (15 October 2014); https://doi.org/10.1117/12.2065994
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