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Proceedings Paper

Prediction and flexible modeling for automatic target recognition
Author(s): Andre Sokolnikov
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Paper Abstract

The reliability of the data analysis from sensors is the main factor for making the right decisions for target recognition. Obviously, the reliability depends on the quality of the sensors and processing electronics. However, the cases where the target is clearly determined are not numerous. More often, we receive partial and distorted images from the sensors employed. Thus, we have a task of determining the correct initial image that was distorted by various factors before and after it was detected by the sensors. The proposed approach is an adaptive intelligent system that uses algorithms, renewable data base as well as the possibility of changing the detection system's parameters and modes of operation depending on the signal received from the identified objects.

Paper Details

Date Published: 13 May 2010
PDF: 12 pages
Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76960B (13 May 2010); doi: 10.1117/12.851824
Show Author Affiliations
Andre Sokolnikov, Visual Solutions and Applications (United States)


Published in SPIE Proceedings Vol. 7696:
Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI
Firooz A. Sadjadi; Abhijit Mahalanobis; David P. Casasent; Tien-Hsin Chao; Steven L. Chodos; William E. Thompson, Editor(s)

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