Automated target morphing applied to objects in cluttered backgrounds

Markus E. Testorf; Andrey V. Semichaevsky; Robert V. McGahan; Michael A. Fiddy

doi:10.1117/12.451793

23 December 2002 Automated target morphing applied to objects in cluttered backgrounds

Markus E. Testorf, Andrey V. Semichaevsky, Robert V. McGahan, Michael A. Fiddy

Proceedings Volume 4792, Image Reconstruction from Incomplete Data II; (2002) https://doi.org/10.1117/12.451793
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

We describe an automated target tracking algorithm which is based on a linear spectral estimation technique, termed the PDFT algorithm. Typically, the PDFT algorithm is applied to obtain high resolution images from scattered field data by incorporating prior information about the target shape into the reconstruction process. In this investigation, the algorithm is used iteratively for determining the target location and a target signature which can be used as the input to an automated target recognition systems. The implementation and the evaluation of the algorithm is discussed in the context of low resolution imaging systems with special reference to foliage penetration radar and ground penetrating radar.

Citation Download Citation

Markus E. Testorf, Andrey V. Semichaevsky, Robert V. McGahan, and Michael A. Fiddy "Automated target morphing applied to objects in cluttered backgrounds", Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); https://doi.org/10.1117/12.451793

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