Kalman detection of landmines in metal detector array data

Canicious G. Abeynayake; Ian J. Chant; Graeme Nash

doi:10.1117/12.485832

11 September 2003 Kalman detection of landmines in metal detector array data

Canicious G. Abeynayake, Ian J. Chant, Graeme Nash

Proceedings Volume 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII; (2003) https://doi.org/10.1117/12.485832
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Tens of millions of mines are currently buried in a number of countries around the world. They cause injuries to civilians and economic damage to war-torn countries by restricting the civilian access to huge agricultural lands. Rapid Route and Area Mine Neutralisation System (RRAMNS) is a Capability Technology Demonstrator (CTD) conducted by Defence Science and Technology Organisation (DSTO) in Australia. The detection system consists of three sensors: a metal detector array, an array of ground penetrating radar (GPR), and forward looking infrared and visual imaging systems. The Kalman filter-based detection technique has previously been shown to be a powerful tool for detection of landmines from metal detector data. In this paper scalar Kalman filter-based detection algorithm has been extended to the multi-dimensional case. The new version of the detection technique has been successfully implemented in RRAMNS real-time mine detection system.

Citation Download Citation

Canicious G. Abeynayake, Ian J. Chant, and Graeme Nash "Kalman detection of landmines in metal detector array data", Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); https://doi.org/10.1117/12.485832

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