Advanced Physics & Statistics-Based Algorithms for Standoff IED Detection/Classification
Abstract
Standoff, low-frequency, wideband ground penetrating radar (GPR) systems have recentlybeen developed and offer the potential to find buried explosive hazards at safe distances.Low target-to-clutter ratios and limited spatial resolution resulting from forward-looking measurement geometries at low grazing angles limit the performance of automated detection and classification algorithms on these data. The Michigan Tech Research Institute (MTRI) proposes basic research in algorithms to overcome these measurement limitations and to generalize machine learning algorithms to fundamentally improve automatic target recognition (ATR) performance with standoff detection explosive hazard detection systems.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 23, 2016
- Source ID
- N000141612623
Entities
People
- Matthew Masarik
Organizations
- Michigan Technological University
- Office of Naval Research
- United States Navy