A compressive sensor concept for target detection

Abhijit Mahalanobis; Robert Muise

doi:10.1117/12.923478

23 April 2012 A compressive sensor concept for target detection

Abhijit Mahalanobis, Robert Muise

Proceedings Volume 8398, Optical Pattern Recognition XXIII; 839804 (2012) https://doi.org/10.1117/12.923478
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Abhijit Mahalanobis and Robert Muise "A compressive sensor concept for target detection", Proc. SPIE 8398, Optical Pattern Recognition XXIII, 839804 (23 April 2012); https://doi.org/10.1117/12.923478

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