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Proceedings Paper

Clipping service: ATR-based SAR image compression
Author(s): David L. Rodkey; Stephen P. Welby; Larry D. Hostetler
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Paper Abstract

Future wide area surveillance systems such as the Tier II+ and Tier III- unmanned aerial vehicles (UAVs) will be gathering cast amounts of high resolution SAR data for transmission to ground stations and subsequent analysis by image interpreters to provide critical and timely information to field commanders. This extremely high data rate presents two problems. First, wide bandwidth data link channels which would be needed to transmit this high data rate presents two problems. First, wide bandwidth data link channels which would be needed to transmit this imagery to a ground station are both expensive and difficult to obtain. Second, the volume of data which is generated by the system will quickly saturate any human-based analysis system without some degree of computer assistance. The ARPA sponsored clipping service program seeks to apply automatic target recognition (ATR) technology to perform 'intelligent' data compression on this imagery in a way which will provide a product on the ground that preserves essential information for further processing either by the military analyst or by a ground-based ATR system. An ATR system on board the UAV would examine the imagery data stream in real time determining regions of interest. Imagery from those regions would be transmitted to the ground in a manner which preserved most or all of the information contained in the original image. The remainder of the imagery would be transmitted to the ground with lesser fidelity. This paper presents system analysis deriving the operational requirements for the clipping service system and examines candidate architectures.

Paper Details

Date Published: 10 June 1996
PDF: 7 pages
Proc. SPIE 2757, Algorithms for Synthetic Aperture Radar Imagery III, (10 June 1996); doi: 10.1117/12.242051
Show Author Affiliations
David L. Rodkey, Army Research Lab. (United States)
Stephen P. Welby, Army Research Lab. (United States)
Larry D. Hostetler, Sandia National Labs. (United States)


Published in SPIE Proceedings Vol. 2757:
Algorithms for Synthetic Aperture Radar Imagery III
Edmund G. Zelnio; Robert J. Douglass, Editor(s)

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