Near Real-Time Processing Techniques for Generation of Integrated Data Products

ABSTRACT: Targeting pods for tactical aircraft are adding more sensors with more capabilities in response to more stressing mission requirements. In turn these sensors, such as multi-spectral imagers and 3D LADAR are producing more complex data, more rapidly. In addition, it is now possible to store and access a wide variety of pre-existing data on-board for reference and correlation with the real-time platform data. In this proposal, Digital Imagery Innovations, LLC proposes to develop an architecture to process and fuse the data from these sensors, to develop computationally economical algorithms to perform the processing and to demonstrate the effectiveness of this process in providing, real-time imagery and actionable intelligence products to the warfighter users. BENEFIT: The proposed architecture and enhanced algorithms will provide the Air Force with a greatly enhanced ability to utilize 3D sensing capabilities to meet its mission requirements. The same processing improvements addressed here: fusion of diverse classes of imagery, long range target identification and geo-location of image chips are needed throughout the DOD. Hence the algorithms and software developed here can be widely applied within the US military. The internet has opened increasing opportunities on the commercial side for image correlation and fusion software. Such internet application as Google Earth and Photo Tourism rely on image analysis software for constructing their data structures.