Ship and Boat Classification via 3-D Measurements on SAR-ISAR Data Navy SBIR FY2011.2 Sol No.: Navy SBIR FY2011.2 Topic No.: N112-119 Topic Title: Ship and Boat Classification via 3-D Measurements on SAR-ISAR Data Proposal No.: N112-119-1090 Firm: MARK Resources, Inc. 3878 Carson Street, Suite 210 Torrance, California 90503-6707 Contact: Stephen Hershkowitz Phone: (310) 543-4746 Web Site: http://www.markres.com Abstract: MARK Resources has previously developed ISAR processing algorithms that provide undistorted plan and profile views of small ships and boats, and that associate responses in the two types of image. We propose to combine this processing with measurements on distorted plan and profile views and thereby derive the unknown crossrange scale of the undistorted profile view, and to extract target shape and dimensions from the resulting set of three-dimensional scatterer positions. We also propose to adapt the existing algorithms in order to obtain hybrid views with usable Doppler resolution for all three of the bow, stern, and superstructure; to measure response positions and associate responses in such hybrid images; and to derive three-dimensional positions of scatterers from the associated measurements. For both of the approaches, we propose to demonstrate the feasibility of generating a three-dimensional image of a small ship or boat and classifying it in real time. The demonstration will be carried out on data from the Navy's SCATR collection. Benefits: The principal application of the proposed technology is to classify small ships and boats in data collected by airborne SAR systems. However, the same technology applies for ship-borne radars. The proposed technology would enable classification with shorter radar dwells than needed by conventional approaches, freeing scarce radar resources for other tasks. Return