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Proceedings Paper

Automatic target recognition using polarization-sensitive thermal imaging
Author(s): Cornell S. L. Chun; Firooz A. Sadjadi; David D. Ferris
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Paper Abstract

The performance of automatic target recognition (ATR) systems using thermal infrared images is limited by the low contrast in intensity for terrestrial scenes. We are developing a thermal imaging technique where, in each image pixel, a combination of intensity and polarization data is captured simultaneously. In this paper, we demonstrate, using synthetic polarization images, that a combination of intensity and polarization data will significantly improve the performance of detection and classification functions in an ATR system. The images were generated using a ray tracing computer program, modified to calculate the polarization characteristics of thermal radiation emitted from surfaces. We developed novel polarization- sensitive target edge detection, segmentation, and recognition algorithms. A set of performance metrics for the evaluation showed that, for large ranges of viewing elevation and aspect angles, using a combination of polarization and intensity data significantly improves the performance of the algorithms over using only the intensity data.

Paper Details

Date Published: 5 July 1995
PDF: 12 pages
Proc. SPIE 2485, Automatic Object Recognition V, (5 July 1995); doi: 10.1117/12.213102
Show Author Affiliations
Cornell S. L. Chun, Physics Innovations, Inc. (United States)
Firooz A. Sadjadi, Loral Corp. (United States)
David D. Ferris, Rome Lab. (United States)


Published in SPIE Proceedings Vol. 2485:
Automatic Object Recognition V
Firooz A. Sadjadi, Editor(s)

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