Automated stationary human target detector for 3-D through-wall radar imagery

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Authors
  1. Sévigny, P.
  2. Fournier, J.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
Abstract
The use of through-wall radar imagery for remote intelligence of building interiors is promising but challenging. Relevant information about human targets and room layout features is typically buried in clutter. In this Letter, we propose a methodology for automated extraction of information about stationary human targets behind walls. Based on treatment of the individual blobs found in the imagery, the method consists of thresholding, segmentation, classification and 3-D visualization. Although further optimization of each of the steps is required, we demonstrate with two examples, including one cluttered scene, that the combination of these steps is effective at eliminating large amounts of clutter and identifying human targets behind walls.
Keywords
through-wall radar;radar data exploitation;human target detection
Report Number
DRDC-RDDC-2017-P035 — External Literature
Date of publication
25 Oct 2017
Number of Pages
4
DSTKIM No
CA045222
CANDIS No
805615
Format(s):
Electronic Document(PDF)

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