Automated Identification of Maritime ISAR Targets
Navy SBIR FY2018.1

Sol No.: Navy SBIR FY2018.1
Topic No.: N181-029
Topic Title: Automated Identification of Maritime ISAR Targets
Proposal No.: N181-029-0281
Firm: Physical Optics Corporation
1845 West 205th Street
Torrance, California 90501
Contact: Ms. Holland
Phone: (310) 320-3088
Web Site:
Abstract: To address the Navyƒ?Ts need for a maritime Automatic Target Recognition (ATR) System using ISAR data for the Tomahawk Missile, Physical Optics Corporation (POC) proposes to develop a new ATR System, Automated Identification of Maritime ISAR Targets (AIMIT). It is based on modern deep-learning techniques for identification of objects and salient features in image data. Specifically, the innovation in using deep- learning image recognition algorithms for maritime ISAR targets will enable the Tomahawk Missile navigation component to accurately target hostile ships, while avoiding innocent bystanders. Additionally, AIMIT deep-learning algorithms are computationally efficient at runtime and updatable via parameter files. As a result, this technology offers a high probability of correct identification, computational throughput sufficient for a 5 Hz update rate, and the capability to readily update the system with new targets. It directly addresses the Tomahawk Missile Program requirements for SWaP, update rate, and classification accuracy. In Phase I, POC will demonstrate the feasibility of AIMIT by demonstrating the performance against either a synthetic or experimental dataset, reaching TRL-3. In Phase II, POC plans to develop a prototype to show that the performance of AIMIT against representative data is acceptably high, bringing the technology to TRL-4.
Benefits: The AIMIT system will be useful for identifying targets for any platform that is capable of producing ISAR images of maritime targets, including other guided munitions systems, such as HARM; surveillance platforms like AAS, BAMS, and JSTARS; and it could be extended to include coastal and harbor protection facilities, such as MAREX and CNIC.