Real-Time Exploitation of Video Synthetic Aperture Radar Imagery Navy SBIR FY2015.1 Sol No.: Navy SBIR FY2015.1 Topic No.: N151-005 Topic Title: Real-Time Exploitation of Video Synthetic Aperture Radar Imagery Proposal No.: N151-005-0236 Firm: Arete Associates P.O. Box 2607 Winnetka, California 91396-2607 Contact: Clayton Chinn Phone: (571) 255-4018 Abstract: Aret� Associates proposes the video-SAR tracker (VST) that combines 3 existing Aret� capabilities in response to the stated need to detect, track and classify all moving targets with particular emphasis on slow-walking humans using video-SAR. The VST employs 1.) the existing Aret� Radar Image Processor (ARIP) to process video-SAR data and to apply noncoherent change detection techniques to identify SAR chips of potential movers; 2.) the deep learning engine that Aret� has demonstrated to have detection and classification performance that significantly outperforms template-based filter approaches; and 3.) a particle filter tracker to integrate the detection, tracking and classification of the movers. The core deep learning application contains a framework that permits integration of physical understanding, prior information and will generate significant false alarm reduction. The proposed effort will produce a feasibility demonstration with existing, available SAR data and contains a clear transition path towards implementation with the APS-153. Benefits: End-to-end video-SAR tracker (VST) to detect, track and classify moving targets; Significant false alarm reduction using deep learning technique; Proposed transition path in collaboration with Telephonics, Inc.; A clear transition plan with Telephonics for implementation onto the APS-153 and ZPY-4 radars; Aid in parallel development of video-SAR and SAR for APS-153 Return