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Proceedings Paper

Automatic mine detection based on multiple features
Author(s): Ssu-Hsin Yu; Avinash Gandhe; Thomas R. Witten; Raman K. Mehra
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Paper Abstract

Recent research sponsored by the Army, Navy and DARPA has significantly advanced the sensor technologies for mine detection. Several innovative sensor systems have been developed and prototypes were built to investigate their performance in practice. Most of the research has been focused on hardware design. However, in order for the systems to be in wide use instead of in limited use by a small group of well-trained experts, an automatic process for mine detection is needed to make the final decision process on mine vs. no mine easier and more straightforward. In this paper, we describe an automatic mine detection process consisting of three stage, (1) signal enhancement, (2) pixel-level mine detection, and (3) object-level mine detection. The final output of the system is a confidence measure that quantifies the presence of a mine. The resulting system was applied to real data collected using radar and acoustic technologies.

Paper Details

Date Published: 22 August 2000
PDF: 8 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); doi: 10.1117/12.396175
Show Author Affiliations
Ssu-Hsin Yu, Scientific Systems Co., Inc. (United States)
Avinash Gandhe, Scientific Systems Co., Inc. (United States)
Thomas R. Witten, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Raman K. Mehra, Scientific Systems Co., Inc. (United States)

Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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