SERDP and ESTCP researchers are developing sensors and systems to find and identify unexploded and discarded munitions underwater. Presenters in this session will describe several sensor modalities that can detect and discriminate underwater munitions both proud of the seafloor and buried in the sediment. Both experimental measurements using acoustic and electromagnetic sensors and modeling of the resulting data will be presented.

Session Chair: Dr. Daniel Brown, Pennsylvania State University

Introduction by Session Chair

Dr. Daniel Brown, Pennsylvania State University

Underwater UXO Detection & Classification - The European Perspective

Mr. Claus Bottcher, German Program on Underwater Munitions

Multi-Sensor Towbody (MuST) for Detection, classification, and Geolocation of Underwater Munitions

Dr. Kevin Williams, University of Washington Applied Physics Laboratory

Beamforming Results for the Initial Milto-Sensor Towbody Field Test

Dr. Timothy Marston, University of Washington Applied Physics Laboratory

AUV-Based Structural Acoustic SONARS for Underwater Buried UXO Detection and Classification

Dr. Joseph Bucaro, Naval Research Laboratory

Acoustic-Color-Based Convolutional Neural Networks for UXO Classification with Low-Frequency Sonar Data

Dr. David Williams, NATO, Science and Technology Organization Centre for Maritime Research

Dynamic Classification with the Marine Towed Array

Dr. Dan Steinhurst, Naval Research Laboratory