Data fusion and visualization of land mines/UXO using 3D seismic petroleum exploration software methods

Wayne N. Sawka; Chris Todd; John Dubose

doi:10.1117/12.324164

4 September 1998 Data fusion and visualization of land mines/UXO using 3D seismic petroleum exploration software methods

Wayne N. Sawka, Chris Todd, John Dubose

Author Affiliations +

Proceedings Volume 3392, Detection and Remediation Technologies for Mines and Minelike Targets III; (1998) https://doi.org/10.1117/12.324164
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

Increasingly, commercial off the shelf (COTS) products are finding direct application to DOD needs providing immediate, state-of-the-art technology solutions at a fraction of development contract costs. The terabyte/day data processing requirements of petroleum exploration has led to the development of very fast N-dimensional voxel (3D pixel) rendering software engines. Seismic processing methods also can be directly applied to ground penetrating radar (GPR) data using inverse fft on raw data to produce time verses amplitude and data quality control using signal, noise, waveform, wavefield tools to analyze signal and noise characteristics. Applying 3D seismic reconstruction methods to the 2D ground penetrating radar transects, volumetric (voxel based) models of entire sites (plus or minus 10,000 m²) can be examined quickly. Fused data sets can be simultaneously displayed in voxel space using cross sections, bench cuts, color pallets and variable transparencies to emphasize targets. Applied to the DARPA background clutter data collection experiment, independent data sets simultaneously displayed (fused) in voxel space allow evaluation of target detection and position accuracy of each sensor system (GPR, magnetic/EM, IR). Voxel false color renderings of the fused data can then be used to visually highlight targets co-detection by different sensor systems, helping to eliminate false positives and select the most reliable detection methods. False color voxel renderings from data fusion could lead to rapid unambiguous landmine threat identification for the warfighter.

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Wayne N. Sawka, Chris Todd, and John Dubose "Data fusion and visualization of land mines/UXO using 3D seismic petroleum exploration software methods", Proc. SPIE 3392, Detection and Remediation Technologies for Mines and Minelike Targets III, (4 September 1998); https://doi.org/10.1117/12.324164

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KEYWORDS

Visualization

Data processing

Data fusion

Software development

3D modeling

Image analysis

Sensors

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