Paper
2 September 1993 Identification of passive millimeter-wave images using neural networks
Bryce M. Sundstrom, Kwang-Shik Min
Author Affiliations +
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bryce M. Sundstrom and Kwang-Shik Min "Identification of passive millimeter-wave images using neural networks", Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); https://doi.org/10.1117/12.152577
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neural networks

Extremely high frequency

Passive millimeter wave imaging

Sensors

Artificial neural networks

Infrared imaging

Algorithm development

RELATED CONTENT

On-orbit determination of focal plane detector positions
Proceedings of SPIE (October 18 1996)
Mapping electrical crosstalk in pixelated sensor arrays
Proceedings of SPIE (July 22 2008)
Emergency GOES Imager (EGI)
Proceedings of SPIE (October 03 1998)
Integrated imaging sensors
Proceedings of SPIE (October 10 2001)

Back to Top