Recent advances in sensors and platforms used to detect, classify and localize UXO in the underwater environment have advanced to the point that full systems are ready for demonstrations. In this session presentations on a variety of sensor and platform types ready for demonstration were given. This session also included discussion of machine learning technologies used to classify UXO and scoring methods to evaluate systems during demonstrations. 

Session Chair: Dr. Gregory Schultz, White River Technologies, Inc.

Introduction by Session Chair

Dr. Gregory Schultz, White River Technologies, Inc.

UltraTEM Marine Towed System for Detection and Characterization of Buried Ordnance

Dr. Stephen Billings, Black Tusk Geophysics Inc.

Unmanned Aerial Magnetics for Underwater UXO

Dr. Gregory Schultz, White River Technologies, Inc.

Lidar Sensor for Characterizing Proud Underwater Objects in Shallow Waters from a UAS Platform

Dr. Jeffrey P. Thayer, Atmospheric & Space Technology Research Associates Lidar Technologies/University of Colorado Boulder

Multi-sensor Approaches to Munitions Detection/Classification

Dr. Daniel D. Sternlicht, Naval Surface Warfare Center Panama City Florida

Sonar-Based Deep Learning for Underwater UXO Remediation

Dr. David P. Williams, Applied Research Laboratory, Pennsylvania State University

Practical Considerations in Scoring Blind Tests for UXO Detection, Localization, and Classification

Dr. Shelley Cazares, Institute for Defense Analyses (IDA)