Spatial domain multiresolutional measurement and model decomposition

Shan Cong; Lang Hong; Richard A. Wood

doi:10.1117/12.279527

29 October 1997 Spatial domain multiresolutional measurement and model decomposition

Shan Cong, Lang Hong, Richard A. Wood

Proceedings Volume 3163, Signal and Data Processing of Small Targets 1997; (1997) https://doi.org/10.1117/12.279527
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

Shan Cong, Lang Hong, and Richard A. Wood "Spatial domain multiresolutional measurement and model decomposition", Proc. SPIE 3163, Signal and Data Processing of Small Targets 1997, (29 October 1997); https://doi.org/10.1117/12.279527

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