Image restoration techniques using Compton backscatter imaging for the detection of buried landmines

Joseph Wehlburg, Shyam Keshavmurthy, Yoichi Watanabe, Edward Dugan, Alan Jacobs

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations


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 (-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 (x0,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.

Original languageEnglish (US)
Pages (from-to)336-347
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Jun 20 1995
Externally publishedYes
EventDetection Technologies for Mines and Minelike Targets 1995 - Orlando, United States
Duration: Apr 17 1995Apr 21 1995

Bibliographical note

Funding Information:
This research was funded by CECOM Night Vision and Electronic Sensors Directorate ofthe U.S. Army.

Publisher Copyright:
© 1995 SPIE.


  • Compton backscatter
  • Mine detection
  • X-ray detector systems


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