Analysis of metrics for human detection behind walls using experimental 3-D synthetic aperture radar imagery

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Authors
  1. Chan, B.
  2. Sevigny, P.
  3. DiFilippo, D.J.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
Abstract
Defence Research and Development Canada (DRDC) has been investigating 3-D through wall synthetic aperture radar (SAR) imaging from an experimental L-band through-wall SAR prototype. Tools and algorithms are being developed to exploit the resulting 3-D imagery. In this report, a comprehensive study of the characteristics of human target signatures behind three different wall structures is presented using 3-D SAR data. An analysis of the human target signature in different poses behind a drywall, a cinder block wall, and a brick/cinder block wall is provided. The aim of this investigation is to determine different quantitative features that could be used as potential discriminants. A comprehensive study of 3-D human target signature metrics behind drywall is also provided. The aim of this study is to identify features for discrimination of the human target from other similar features in an empty scene including the wall signature, potential ghosts, and clutter and multipath. Several metrics were investigated as potential discriminants and six were identified as good candidates. Based on this study, no single metric could be used to fully discriminate the human targets from all others. A combination of at least three different metrics is required to achieve this. These metrics can now be implemented in an automatic human target detection algorithm for analysis.

Il y a un résumé en français ici.

Keywords
3-D SAR;imagery;through-wall;human discrimination;detection;metrics
Report Number
DRDC-RDDC-2014-R140 — Scientific Report
Date of publication
01 Dec 2014
Number of Pages
52
DSTKIM No
CA040597
CANDIS No
801661
Format(s):
Electronic Document(PDF)

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