Sensor data fusion for mine detection from a vehicle-mounted system

Indar L. Bhatia; Vince E. Diehl; Tim Moore; Jay A. Marble; Ky Tran; Steven S. Bishop

doi:10.1117/12.396310

22 August 2000 Sensor data fusion for mine detection from a vehicle-mounted system

Indar L. Bhatia, Vince E. Diehl, Tim Moore, Jay A. Marble, Ky Tran, Steven S. Bishop

Proceedings Volume 4038, Detection and Remediation Technologies for Mines and Minelike Targets V; (2000) https://doi.org/10.1117/12.396310
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Indar L. Bhatia, Vince E. Diehl, Tim Moore, Jay A. Marble, Ky Tran, and Steven S. Bishop "Sensor data fusion for mine detection from a vehicle-mounted system", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396310

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