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Proceedings Paper

Identification of passive millimeter-wave images using neural networks
Author(s): Bryce M. Sundstrom; Kwang-Shik Min
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Paper Abstract

Recent developments in passive millimeter-wave imaging technology are remarkable. Images of objects obtained through clouds and fog are almost indistinguishable from similar scenes taken under clear conditions. Of particular interest is the ability to image metal targets beneath camouflage, tents, polymers, wooden shelters, and certain levels of ceramic materials. A brief description of this emerging technology will be followed by several convincing examples of images to support the claims made above. Once image formation is complete, the technique of identifying objects in the image using neural networks is similar to the schemes utilized in previous Wright Laboratory Armament directorate implementations of Automatic Target Identification work for electro-optical and infrared images.

Paper Details

Date Published: 2 September 1993
PDF: 12 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152577
Show Author Affiliations
Bryce M. Sundstrom, Air Force Wright Lab. (United States)
Kwang-Shik Min, Air Force Wright Lab. (United States)

Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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