Prediction and flexible modeling for automatic target recognition

Andre Sokolnikov

doi:10.1117/12.851824

12 May 2010 Prediction and flexible modeling for automatic target recognition

Andre Sokolnikov

Proceedings Volume 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI; 76960B (2010) https://doi.org/10.1117/12.851824
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Andre Sokolnikov "Prediction and flexible modeling for automatic target recognition", Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76960B (12 May 2010); https://doi.org/10.1117/12.851824

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