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Proceedings Paper

Image restoration techniques using Compton backscatter imaging for the detection of buried land mines
Author(s): Joseph C. Wehlburg; Shyam P. Keshavmurthy; Yoichi Watanabe; Edward T. Dugan; Alan M. Jacobs
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Paper Abstract

Earlier landmine imaging systems used two collimated detectors to image objects. These systems had difficulty in distinguishing between surface features and buried features. Using a combination of collimated and uncollimated detectors in a Compton backscatter imaging (CBI) system, allows the identification of surface and buried features. Images created from the collimated detectors contain information about the surface and the buried features, while the uncollimated detectors respond (approximately 80%) to features on the surface. The analysis of surface features are performed first, then these features can be removed and the buried features can be identified. Separation of the surface and buried features permits the use of a globbing algorithm to define regions of interest that can then be quantified [area, Y dimension, X dimension, and center location (xo, yo)]. Mine composition analysis is also possible because of the properties of the four detector system. Distinguishing between a pothole and a mine, that was previously very difficult, can now be easily accomplished.

Paper Details

Date Published: 20 June 1995
PDF: 12 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211329
Show Author Affiliations
Joseph C. Wehlburg, Univ. of Florida (United States)
Shyam P. Keshavmurthy, Univ. of Florida (United States)
Yoichi Watanabe, Sloan-Kettering Cancer Ctr. (United States)
Edward T. Dugan, Univ. of Florida (United States)
Alan M. Jacobs, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 2496:
Detection Technologies for Mines and Minelike Targets
Abinash C. Dubey; Ivan Cindrich; James M. Ralston; Kelly A. Rigano, Editor(s)

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