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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Improved still frames and denoised motion imagery from distressed FMV

    SBC: NANOHMICS INC            Topic: NGA191004

    Producers of imagery intelligence must contend with the distortions and defects in available images. One approach to recovering some the lost spatiotemporal video content during single frame analysis is to use processing techniques that improve spatial quality and resolution of individual frames by exploiting inter-frame correlations. However, the assumptions, enhancement capabilities, and computa ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  2. Faster Optical Modem for Underwater Data Acquisition

    SBC: Sonalysts, Inc.            Topic: NGA182001

    To address NGA’s requirements, Sonalysts’ team of world-class experts in underwater optical communication proposes development and implementation of the Precision Optical Navigation Transceiver for Undersea Systems (PONTUS). PONTUS will transfer navigation information from an Underwater Navigation Beacon (UNB) to an Unmanned Undersea Vehicle (UUV) in an electromagnetic-spectrum-denied (e.g., G ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  3. Densely Connected Neural Networks for Remote Sensing

    SBC: Lynntech Inc.            Topic: NGA181010

    The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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