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Proceedings Paper

Probability density function of image tails interference in the detection of moving objects: generalized Rice's representation
Author(s): Cheng-Youn Lu; Harrison E. Rowe
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Paper Abstract

Passive radio wave remote sensing of a moving object by multiple individual sensors has been studied. A time-varying matched (TVM) filter bank has been suggested for the target reconstruction and detection. The TVM filter tuned to the target velocity compensates the target motion, maximizes SNR, and enhances the target image. In contrast, mis-tuned TVM filters yield blurred target images. In the multi-target case overlapped blurred image tails may interfere with the target recognition process, and cause target detection false alarm. In this work we study the statistics of the interference due to the randomly overlapped target image tails. Inspired by S. O. Rice's early work on shot noise statistics, assuming a uniform-Poisson distribution of target velocity-position, we present the probability density function (PDF), a generalized representation of Rice's integral, of the image tail interference. We evaluate this generalized Rice's integral. In an example we present the numerical results of the integral for the intermediate target density case.

Paper Details

Date Published: 17 November 1995
PDF: 11 pages
Proc. SPIE 2587, Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing, (17 November 1995); doi: 10.1117/12.226817
Show Author Affiliations
Cheng-Youn Lu, David Sarnoff Research Ctr. (United States)
Harrison E. Rowe, Stevens Institute of Technology (United States)

Published in SPIE Proceedings Vol. 2587:
Geographic Information Systems, Photogrammetry, and Geological/Geophysical Remote Sensing
Joan B. Lurie; James J. Pearson; Eugenio Zilioli, Editor(s)

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