Improved Detection and False Alarm Rejection Using FLGPR and Color Imagery in a Forward-Looking System
MISSOURI UNIV-COLUMBIA DEPT OF ELECTRICAL ENGINEERING
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Forward-looking ground-penetrating radar FLGPR has received a significant amount of attention for use in explosive-hazards detection. A drawback to FLGPR is that it results in an excessive number of false detections. This paper presents our analysis of the explosive-hazards detection system tested by the U.S. Army Night Vision and Electronic Sensors Directorate NVESD. The NVESD system combines an FLGPR with a visible-spectrum color camera. We present a target detection algorithm that uses a locally-adaptive detection scheme with spectrum-based features. The remaining FLGPR detections are then projected into the camera imagery and image-based features are collected. A one-class classifier is then used to reduce the number of false detections. We show that our proposed FLGPR target detection algorithm, coupled with our camera-based false alarm FA reduction method, is effective at reducing the number of FAs in test data collected at a US Army test facility.
- Optical Detection and Detectors
- Active and Passive Radar Detection and Equipment