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Proceedings Paper

Demonstration of multispectral target locator using collocated RF antenna/LWIR joint sensor system and datacube
Author(s): Woo-Yong Jang; James Park; George Kakas; Michael Noyola
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Paper Abstract

Recently, we configured RF antennas and a LWIR camera connected to an actuator system to form a collocated sensor system. We also developed a GUI which directly controls both RF and IR systems, azimuth motion, as well as performs post-processing for data integration and location finding. RF range data and LWIR images were collected simultaneously by using our configured sensor system as azimuth was varied from 0 to 70°. Series of collected RF data was transformed into a single 2-D radar image showing range profile of targets against azimuth. For LWIR, data was aligned into a single panoramic image as a function of azimuth by incorporating shift parameters observed in the measurements. Both RF/IR images were then arranged into a 3-D datacube, having azimuth as a common domain, and this datacube directly provided locational information of targets. For demonstration, we successfully located objects such as a corner reflector and a blackbody source under a dark background. In addition, we highlight some additional features available in our sensor system including target classification using both Euclidean and SVM based multi-classifier techniques, and tracking capability for region of interest on moving targets. Future work would be to improve the current system for outdoor measurement to locate distant targets.

Paper Details

Date Published: 18 October 2016
PDF: 9 pages
Proc. SPIE 10004, Image and Signal Processing for Remote Sensing XXII, 100040D (18 October 2016); doi: 10.1117/12.2235350
Show Author Affiliations
Woo-Yong Jang, Univ. of Dayton Research Institute (United States)
Air Force Research Lab. (United States)
James Park, Air Force Research Lab. (United States)
George Kakas, Air Force Research Lab. (United States)
Michael Noyola, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 10004:
Image and Signal Processing for Remote Sensing XXII
Lorenzo Bruzzone; Francesca Bovolo, Editor(s)

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