Detection of landmine candidates from airborne and vehicle-borne IR images

Irene Y. H. Gu; Tardi Tjahjadi

doi:10.1117/12.445479

18 October 2001 Detection of landmine candidates from airborne and vehicle-borne IR images

Irene Y. H. Gu, Tardi Tjahjadi

Proceedings Volume 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI; (2001) https://doi.org/10.1117/12.445479
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

Airborne or vehicle-borne sensor-based techniques are potentially attractive approaches for fast detection of landmine field towards efficient and safety humanitarian demining. The measured data in such cases has a rather low spatial resolution due to the altitude of measurements. Landmines in an IR image are either indicated directly due to their temperature difference to background, or indirectly by signs of digging or disturbance patterns. This paper proposes a novel method for automatically detecting landmine candidates by exploiting features associated with landmine point patterns. We describe a special type of multiresolution isotropic bandpass filter for detecting these landmine candidates and other man-made landmarks on the ground surface (which may be used for locating mine fields). The introduction of multiresolution to the detection fiber enables both good detectability and localization of landmine candidates. However, the method cannot distinguish landmine candidates from clutter sharing similar spatial patterns. Therefore, it is only suitable for detecting landmine fields, or candidates of landmines. For reliable individual mine detection, landmine discrimination methods should be subsequently applied. Experiments were performed on several images measured from vehicle-borne and airborne sensors over the test bed scenarios, and some results are included.

Citation Download Citation

Irene Y. H. Gu and Tardi Tjahjadi "Detection of landmine candidates from airborne and vehicle-borne IR images", Proc. SPIE 4394, Detection and Remediation Technologies for Mines and Minelike Targets VI, (18 October 2001); https://doi.org/10.1117/12.445479

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KEYWORDS

Land mines

Sensors

Bandpass filters

Mining

Optical filters

Spatial resolution

Cameras

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