Paper
23 December 2002 Automated target morphing applied to objects in cluttered backgrounds
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Detection and tracking algorithms

Target recognition

Reconstruction algorithms

Fourier transforms

Image analysis

Automatic target recognition

Image resolution

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