Multi-Sensor Approach to Countermine Detection

Abstract

This report documents the application of Multi-Sensor Data Fusion to Mine Detection, in an effort to improve Detection/False Alarm performance. A survey of Mine Sensing techniques is summarized. Multi-Sensor (Passive IR (3-5 micron and 8-12 micron), Passive Visible, Active IR), coincident data is presented from both a Ground Base Platform and an Airborne (Helicopter) Platform. Neural transform technology is applied to individual mine detection as well as minefield detection. Real Time implementation is addressed and demonstrated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 1989
Accession Number
ADA225609

Entities

People

  • James H. Anapol
  • James J. Stamboni

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Anti-Tank Mines
  • Artificial Intelligence
  • Cameras
  • Computational Science
  • Computer Vision
  • Detection
  • Detectors
  • Feature Extraction
  • Geography
  • Image Processing
  • Measurement
  • Millimeter Wave Radar
  • Minefields
  • Pattern Recognition
  • Remote Sensing
  • Two Dimensional
  • Warning Systems

Readers

  • Integrated Circuit Design and Technology.
  • Sensor Fusion and Tracking Systems.