Knowledge-Based Analysis Of Millimeter Wave Polarization And Range Data

Philip D. Moore; Robert L. Cannon

doi:10.1117/12.946990

29 March 1988 Knowledge-Based Analysis Of Millimeter Wave Polarization And Range Data

Philip D. Moore, Robert L. Cannon

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.946990
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

Philip D. Moore and Robert L. Cannon "Knowledge-Based Analysis Of Millimeter Wave Polarization And Range Data", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.946990

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