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Proceedings Paper

Sensor data fusion for mine detection from a vehicle-mounted system
Author(s): Indar L. Bhatia; Vince E. Diehl; Tim Moore; Jay A. Marble; Ky Tran; Steven S. Bishop
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Paper Abstract

The MH/K) Close in Detector (CID) system employs ground penetrating radar (GPR), forward looking IR and metal detectors that are individually and collectively processed to generate automatic target detections. The detection preprocessing is initially being accomplished on a sensor by sensor basis. For the IR sensor, we apply digital filtering techniques and morphology to detect the mines and a separate filter to characterize the background level. For preprocessing the GPR returns, we apply an inverse Fourier transform to the complex frequency return signal to obtain depth information and apply digital filtering techniques to remove fixed pattern noise and provide contrast enhancement. Metal detector returns are preprocessed using a distance measure of the return compared with the averaged background. A representative data set is extracted from the preprocessed data for each of the sensor types. Other MH/K team efforts for ATR and fusion development include TRW, BAE and Sandia National Laboratories.

Paper Details

Date Published: 22 August 2000
PDF: 11 pages
Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000);
Show Author Affiliations
Indar L. Bhatia, TRW, Inc. (United States)
Vince E. Diehl, Veridian-ERIM International, Inc. (United States)
Tim Moore, E-OIR Measurements, Inc. (United States)
Jay A. Marble, Veridian-ERIM International, Inc. (United States)
Ky Tran, TRW, Inc. (United States)
Steven S. Bishop, U.S. Army Night Vision & Electronic Sensors Directorate (United States)

Published in SPIE Proceedings Vol. 4038:
Detection and Remediation Technologies for Mines and Minelike Targets V
Abinash C. Dubey; James F. Harvey; J. Thomas Broach; Regina E. Dugan, Editor(s)

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