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Abstract--Electro-optic identification (EOID) sensors provide photographic quality images that can be used to identify mine-like contacts provided by long-range sensors, such as sonar systems. To help support the transition of these sensors to the Fleet as well as to aid in the development of future EOID sensors, the Office of Naval Research (322-OP) has funded a five-year research program to investigate the performance properties of existing EOID sensors as a function of ocean environment. This paper describes the EOID research program and its objectives along with a brief discussion of supporting tasks such as validating existing electro-optic models, development of performance metrics, and development of computer aided identification and automatic target recognition algorithms. In addition, data from the recent field test will be presented. Rapid visual identification of MLOs using electro-optic identification sensors will dramatically improve MCM operations.To support rapid visual identification, two electro-optic identification (EOID) sensors are currently under investigation by the Navy. These are the Streak Tube Imaging Lidar (STIL), an addition to the AN/AQS-20/X and the AN/WLD-1 (Remote Mine-hunting System) programs, and the Laser Line Scan (LLS), which will be part of the AN/AQS-14A(V1) program. Through these programs, EOID will be a key element in implementation of Fleet plans for a robust organic MCM capability. With these systems, the Fleet will have their first experience with high-resolution underwater electro-optical imagery. It is anticipated that there will be evolutions in tactics and opportunities for unexpected missions for EOID as the Fleet gains experience and confidence with the capabilities of these systems. Accordingly, the Office of Naval Research (ONR) has initiated a science and technology (S&T) program to address issues that impact the success of these transitions, as well as the development of future EOID sensors that may be candidates for new organic platforms, especially small unmanned underwater vehicles (UUVs) and unmanned surface vehicles (USVs). II. EOID RESEARCH PROGRAMThe primary objectives of the program are the validation of existing electro-optic models and the development and testing of Computer-Aided Identification (CAI) and Automatic Target Recognition (ATR) algorithms. Other objectives include the development of post-mission analysis tools, the development of an operator performance prediction model (Target Acquisition Model), and the quantification of environmental performance envelopes for EOID sensors.Electro-optic models have been developed 3 to predict the performance of EOID sensors under varying conditions and parameters. Each model, however, has been lacking a sufficient data set for validation. Therefore, a field test was conducted in August 2001 to collect data specifically for model validation and, secondarily, for development of Automatic Target Recognition (ATR) algorithms.To maximize the application of the data to the models and for algorithm developmen...

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