Image fusion & mining tools for a COTS environment

We have continued development of a system for multisensor image fision and interactive mining based on neural models of color vision processing, learning and pattern recognition. We pioneered this work while at MIT Lincoln Laboratory, initially for colorfirsed night vision (low-light visible and uncooled thermal imagery) and'later extended it to multispectral IR and 30 ladar. We also developed a proof-of-concept system for EO, IR, SAR firsion and mining. Over the last year we have generalized this approach and developed a user- Ji-iendly system integrated into a COTS exploitation environment known as ERDAS Imagine. In this paper, we will summarize the approach and the neural networh used, and demonstrate fusion and interactive mining (i.e., target learning and search) of low-light visible/S WIRhWINL WIR night imagery, and IKONOS multispectral and high-resolution panchromatic imagery. Zn addition, we will demonstrate how target learning and search can be enabled over extended operating conditions by allowing training over multiple scenes. This will be illustrated for the detection of small boats in coastal waters using firsed visible/MW.IIRL WIR imagery.