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Proceedings Paper

Knowledge-Based Analysis Of Millimeter Wave Polarization And Range Data
Author(s): Philip D. Moore; Robert L. Cannon
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Paper Abstract

The fusion of multisensor data from LADAR, MMW, FLIR, and SAR sensors by a knowledge-based system is used in automatic target recognition and remote monitoring applications. Each sensor offers unique scene attribute and contextual information. Thus, problems of image registration as well as the effects of terrain and environmental variability upon each sensor complicate the analysis process. In this paper, the use of multipolarization and range data from MMW images to enhances the sensor fusion phase by exploiting the multiband feature of the sensor is explored. The multiband data provided by MMW sensors is unique and provides a sufficient basis for analysis as an independent problem. As specialized hardware implementations of knowledge systems become available, the ability to exploit polarization and range data in a subsystem that is independent of the fusion process presents a unique approach that increases the overall performance of the fusion process.

Paper Details

Date Published: 29 March 1988
PDF: 8 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946990
Show Author Affiliations
Philip D. Moore, University of South Carolina (United States)
Robert L. Cannon, University of South Carolina (United States)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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