Optimal Exploitation of 3D Electro-Optic Identification Sensors for Mine Countermeasures.

摘要

The overall goal of this project is to utilize existing hardware and model assets to address issues critical to the operational deployment of advanced electro-optic identification (EOID) mine countermeasure (MCM) sensors. EO identification of mines is specified as a requirement for the next generation of Navy MCM systems (e.g., AQS-20(A) and RMS). With maturing sensor technology, like the Aret developed Streak Tube Imaging Lidar (STIL), transitioning to the fleet, this effort has been undertaken to evaluate optimal STIL performance, predict STIL performance with advanced imaging models, and to make these EO sensor modeling tools and predictions available.