Improved Landmine Detection Capability (ILDC): Systematic Approach to the Detection of Buried Mines Using Passive IR Imaging

Abstract

In order to reduce the serious problem associated with the mining of important supply f communication roads by hostile parties during peace keeping operations, the Canadian Department of National Defence has recently begun the development of a multi-sensor teleoperated mine detection vehicle, the Improved Land-Mine Detection Capability (ILDC). One sensor identified as a serious candidate for that project is a passive IR camera. In the past, many organizations have assessed the efficiency of this technique of detection and reported widely fluctuating results. It is believed that the main reason for these fluctuations is associated with the ad hoc interpretations used by different researchers. In this paper, a more systematic analysis is presented which takes into account variables such as time of the day, time of the year, weather conditions, type of road and many others. A working model is proposed in order to facilitate the prediction of theIR signature of the buried land-mines and is compared with data acquired from multiple trials. These trials were done with live mines (without fuzes) and surrogates buried in different types of road (packed gravel and sand) and during different times of the day and different times of the year.

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Document Details

Document Type
Technical Report
Publication Date
Oct 10, 2000
Accession Number
ADA593326

Entities

People

  • Jean-robert Simard

Tags

Communities of Interest

  • Advanced Electronics
  • Counter IED
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Coefficients
  • Detection
  • Detectors
  • Digital Images
  • Efficiency
  • Equations
  • Experimental Data
  • Ground Vehicles
  • Heat Transfer
  • Heat Transmission
  • Measurement
  • National Security
  • Radiation
  • Standards
  • Temperature Gradients
  • Thermal Conductivity
  • Vehicles

Readers

  • Logistics and Supply Chain Management.
  • Sensor Fusion and Tracking Systems.
  • Theoretical Analysis.