Integrated Data Registration for Networked Aircraft Navy SBIR FY2011.2 Sol No.: Navy SBIR FY2011.2 Topic No.: N112-101 Topic Title: Integrated Data Registration for Networked Aircraft Proposal No.: N112-101-0522 Firm: SilverBlock Systems, Inc. 21111 Catnip Court Leonardtown, Maryland 20650-3641 Contact: David Bizup Phone: (301) 904-7214 Web Site: http://silverblock.net Abstract: The objective of this proposal is to demonstrate the technical feasibility of implementing modern data registration techniques in a real time tactical sensor network of Navy aircraft. These registration techniques will be particularly applicable to E-2 variants, and will also work for other networked aircraft and their sensors. During Phase I we will demonstrate fully automated data registration, using modern transformation techniques, against simulated E-2C data provided by the government. During Phase II we will demonstrate a fully robust networked solution in a Navy laboratory. Our registration will work with one, two, and three dimensional sensors, and active and passive sensors. Benefits: An integrated data registration capability that accounts for the fundamental errors present in target or position reports will be of immediate use to the Navy. Quality data registration results in improved accuracy, which leads to increased warfighter effectiveness in all phases of the kill chain: target identification, force dispatch, decision and order to attack, and finally the destruction of the target. Improved data registration helps individual aircraft better align the own organic sensors. It allows today's networked sensors, using data links like TADIL-J, to prosecute engagements by mixing similar and nearly similar sensors on different aircraft, and is absolutely essential for the net centric weapon systems of the future that mix information from highly dissimilar sensors. The commercial market for image registration is vast, particularly for registering and montaging images. NGA, NIH, NASA, and many private institutes are interested. Examples applications include glaucoma detection based on time disparate retinal images, combining photographs with radar or lidar images, enabling change detection, and montaging hundreds or more images together. Image registration is the process of systematically placing separate images in a common frame of reference so that the information they contain can be optimally integrated or compared. This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical image registration is an emerging and quickly growing field. Return