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10 May 2012 Image registration and change detection feasibility study with ground-penetrating radar
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The intent of this research is to align and compare an array of GPR (Ground Penetrating Radar) data with historical data taken over similar pathways, separated in time, with soft positioning accuracies. The objective is to develop an overlap of the two or more data runs to reduce the false alarm load on the operator and automatically reveal new alarms showing up in the new data (change detection). Data is taken with a GPR system. GPS (Global Positioning System) coordinates are stamped on the data but are very inaccurate, therein rests the registration problem. Two approaches have been taken to align the data sets: 1) Alarm registration through 2D correlation methods. 2) Image registration of ground contours using 2D correlation methods. Radar data are displayed and analyzed within the context of the above algorithms. Data displays are shown in 2D formats, with alarm registration displaying cross track vs. down track and ground contour registration displaying down track vs. ground depth. Preliminary results indicate a positive benefit from these registration processes, including: Rapid detection of new alarms. Reduction of the overall FAR (False Alarm Rate) load on the operator. These processes have application to the support of radar systems in operational scenarios by decreasing the load on operators and producing a more rapid ROA (Rate of Advance).
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Mueller, S. Lauziere, M. Khanin, and M. Hibbard "Image registration and change detection feasibility study with ground-penetrating radar", Proc. SPIE 8357, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVII, 83571Y (10 May 2012);

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