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Proceedings Paper

Spatial domain multiresolutional measurement and model decomposition
Author(s): Shan Cong; Lang Hong; Richard A. Wood
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Paper Abstract

This paper proposes a new algorithm which is able to decompose the measurements gathered within the same frame into multiple resolutions. The decomposition is based on the geometric relation between the measurements. The statistics of the decomposed measurements are derived with which multiresolutional models are constructed. The computation of the statistics is approximated so that it is efficient in computation. Simulations are designed to analyze the performance of the algorithm and to illustrate the significance of this multiresolutional approach. The results of the simulations prove that multiresolutional data and model structures can significantly reduce the computational burden of the tracking algorithms while the performance of a multiresolutional tracker is still comparable to that of a conventional one.

Paper Details

Date Published: 29 October 1997
PDF: 11 pages
Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); doi: 10.1117/12.279527
Show Author Affiliations
Shan Cong, Wright State Univ. (United States)
Lang Hong, Wright State Univ. (United States)
Richard A. Wood, Air Force Wright Lab. (United States)


Published in SPIE Proceedings Vol. 3163:
Signal and Data Processing of Small Targets 1997
Oliver E. Drummond, Editor(s)

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