Analysis of Metrics for Human Detection behind Walls Using Experimental 3-D Synthetic Aperture Radar Imagery
Abstract
Defence Research and Development Canada 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 indifferent 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2014
- Accession Number
- AD1000122
Entities
People
- Brigitte Chan
- David J. Difilippo
- Pascale Sevigny
Organizations
- Defence Research and Development Canada