Target Detection, Clutter Discrimination, and Heterogeneous Fusion for Multi Sensor Handheld Subsurface Object Detector
Abstract
In this paper we consider the development of algorithms for the automatic detection of buried threats using ground penetrating radar (GPR) measurements. GPR is one of the most studied and successful modalities for automatic buried threat detection (BTD), and a large variety of BTD algorithms have been proposed for it. Despite this, large-scale comparisons of GPR-based BTD algorithms are rare in the literature. In this work we report the results of a multi-institutional effort to develop advanced buried threat detection algorithms for a real world GPR BTD system. The effort involved five institutions with substantial experience with the development of GPR-based BTD algorithms. In this paper we report the technical details of the advanced algorithms submitted by each institution, representing their latest technical advances, and many state-of-the-art GPR-based BTD algorithms. We also report the results of evaluating the algorithms from each institution on the large experimental dataset.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 05, 2023
- Accession Number
- AD1220627
Entities
People
- Dominic Ho
Organizations
- University of Missouri