Automatic mine detection based on multiple features

Ssu-Hsin Yu; Avinash Gandhe; Thomas R. Witten; Raman K. Mehra

doi:10.1117/12.396175

22 August 2000 Automatic mine detection based on multiple features

Ssu-Hsin Yu, Avinash Gandhe, Thomas R. Witten, Raman K. Mehra

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396175
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Ssu-Hsin Yu, Avinash Gandhe, Thomas R. Witten, and Raman K. Mehra "Automatic mine detection based on multiple features", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396175

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