Share Email Print
cover

Proceedings Paper

Kalman detection of landmines in metal detector array data
Author(s): Canicious G. Abeynayake; Ian J. Chant; Graeme Nash
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 11 September 2003
PDF: 9 pages
Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.485832
Show Author Affiliations
Canicious G. Abeynayake, Defence Science and Technology Organisation (Australia)
Ian J. Chant, Defence Science and Technology Organisation (Australia)
Graeme Nash, Defence Science and Technology Organisation (Australia)


Published in SPIE Proceedings Vol. 5089:
Detection and Remediation Technologies for Mines and Minelike Targets VIII
Russell S. Harmon; John H. Holloway; J. T. Broach, Editor(s)

© SPIE. Terms of Use
Back to Top