MINE/OBSTACLE DETECTION
Abstract
This activity focuses on applied research to enable longer detection ranges and precise mine location with fewer false alarms in a variety of challenging environments. It supports Discovery and Invention (D&I) and MCM-related FNC ECs. Efforts in Synthetic Aperture Sonar (SAS) technologies for longer range detection and classification of mine-like targets and magnetic gradiometer sensing and electro-optic (EO) technology for buried mine identification, and sensor integration onto Autonomous Underwater Vehicles (AUVs) are being addressed. EO sensor research develops algorithms to enable image processing for rapid overt reconnaissance from an Unmanned Aerial Vehicle (UAV). Other processing, classification and data fusion techniques to reduce operator workload, and a mine burial prediction "expert system" are also being developed. Efforts also support development of MCM Mission Modules for Littoral Combat Ships (LCS). Funding increase from FY 2013 to FY 2014 is due to the initiation of applied research in environmentally adaptive Automatic Target Recognition(ATR). Funding increase from FY2014 to FY2015 for the Mine Obstacle Detection Area is due to plans to investigate several new and promising technology areas with respect to their applications to this mine reconnaissance. These efforts will examine feasibility of employing acoustic radiation forces or vibro-acoustography to generate new target discrimination feature sets. These investigative efforts include the audition based object formation and attention models for MCM. In addition applied research into sensor-generic architectures for multi-session minefield mapping with multiple UUVs will initiate along with research into model-based MCM sonar performance estimation.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2015
- Source ID
- c5bde31aecdf5c49264d25291ff913b4