Award Data

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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until June, 2020.

  1. Passive multi-view, multi-channel detection of highly obscured targets

    SBC: Arete Associates            Topic: NGA04001

    The goal of this Phase I SBIR is to define a set of algorithms that will detect and characterize static man-made objects highly obscured by foliage within multi-view, multi-channel optical data collected passively from UAVs or other aerial platforms. The proposed algorithm stream will be constructed so as to comprehend and mitigate real-world interfering effects such as clouds, smoke and haze. Dur ...

    SBIR Phase I 2004 Department of DefenseNational Geospatial-Intelligence Agency
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