<title>Optical detection of land mines at FOI</title>

Abstract

This paper presents activities concerning optical detection of landmines at FOI, former FOA. The work is focused on the understanding of the origin of detectable optical signatures for choosing the most favorable conditions for detection. Measurements in test beds and calculations using a thermodynamic FEM model with conditions similar to those of the measurements are compared and interpreted in order to explain the behavior of the contrast. Examples will be given on modelling of buried landmines in soil. The heat flow as well as moisture flow has been taken into consideration. The diurnal heat exchange between the soil surface and the atmosphere generates the contrasts in the infrared images. Calculated temperature differences between the background and the surface above the buried object are compared to measured data from experiments. Results are presented and show how the temperature differences can vary over a 24-hour period. The variation depends on the weather at the time as well as the weather before the measurements started. Results from processing and analysis of temporal variations of optical signals from buried landmines and backgrounds are presented as well as their relation to weather parameters. A detection approach including the Likelihood Ratio Test (LRT) is presented. Some of the work has been carried out in an international cooperation project, Airborne Minefield Area Reduction (ARC). The objective is to develop, demonstrate and promote a new system for performing the UN Level 2 surveys allowing a quick reduction of suspected mine polluted areas and post cleaning quality control.

Temporal method for IR minefield feature detection

“…However, the research has been carried out with an operational system in mind utilizing also multispectral and signal processing methods [8][9][10][11]. Research on signal processing aspects has been carried out in cooperation with Chalmers University of Technology [9,12]. This paper proposes a method for temporal analysis to extract relevant information from IR images utilizing thermodynamic modeling and signal and image processing in combination.…”

“…The emphasis has been on understanding, describing, modelling and predicting prerequisites for infrared detection by means of thermal modelling [7]. However, the research has been carried out with an operational system in mind utilizing also multispectral and signal processing methods [8][9][10][11]. Research on signal processing aspects has been carried out in cooperation with Chalmers University of Technology [9,12].…”