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Proceedings Paper

A compressive sensor concept for target detection
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Paper Abstract

In this paper, we describe a method for target detection using specialized masks for compressive sensing (CS) [1]. Unlike traditional CS, which uses random masks to sense a signal, we use basis functions that represent the targets of interest. Attention is given to the fact the location of the objects is not known, and the masks have to be shift invariant. Although this is similar to correlation filtering [2] in some respect, the intent is not to process a conventional image, but to directly project the scene on the mask to obtain measurements from which the information can be recovered. We illustrate this concept by describing a methodology for mask design that optimizes the detection performance, and presenting preliminary results of simulations.

Paper Details

Date Published: 23 April 2012
PDF: 7 pages
Proc. SPIE 8398, Optical Pattern Recognition XXIII, 839804 (23 April 2012); doi: 10.1117/12.923478
Show Author Affiliations
Abhijit Mahalanobis, Lockheed Martin Missiles and Fire Control (United States)
Robert Muise, Lockheed Martin Missiles and Fire Control (United States)


Published in SPIE Proceedings Vol. 8398:
Optical Pattern Recognition XXIII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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