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Proceedings Paper

Fusion of radar images: rectification without the flat earth assumption
Author(s): Misha Pavel; Ravi K. Sharma
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Paper Abstract

A multisensor suite that consists of a forward looking infrared camera, a radar, and a low light television camera is likely to be a useful component of enhanced and synthetic vision systems. We examine several aspects of signal processing needed to combine effectively the individual sensor outputs. First we discuss transformations of individual sensor image data to a common representation. Our focus is on rectification of radar data without relying on a flat-earth assumption. We then describe a novel approach to image representation that minimizes loss of information in the transformation process. Finally, we discuss na optimal algorithm for fusion of radar and infrared images.

Paper Details

Date Published: 31 May 1996
PDF: 11 pages
Proc. SPIE 2736, Enhanced and Synthetic Vision 1996, (31 May 1996); doi: 10.1117/12.241026
Show Author Affiliations
Misha Pavel, Oregon Graduate Institute (United States)
Ravi K. Sharma, Oregon Graduate Institute (United States)


Published in SPIE Proceedings Vol. 2736:
Enhanced and Synthetic Vision 1996
Jacques G. Verly, Editor(s)

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