Deep Context-aware Discriminative Learning for Buried Threat Detection: single sensor processing and multi-sensor fusion
Abstract
The work proposed here is focused on utilizing a data from wide variety of sensor platforms utilized for subsurface sensing, and developing machine learning algorithms in order to detect buried threats. Data from side-looking systems will also be processed if requested by the sponsor. Algorithms to process data from both handheld and large array systems will be developed.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2018
- Source ID
- W911NF1810001
Entities
People
- Leslie M. Collins
Organizations
- Army Contracting Command
- Duke University
- United States Army