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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. Generalized Change Detection to Cue Regions of Interest

    SBC: FeatureX, Inc.            Topic: NGA181006

    Generalized change detection is a critical capability to mitigate the need for massive human inspection of the rapidly expanding volume ofglobal overhead satellite imagery. Current optical change detection approaches focus on fully specified systems to detect a predefined set ofchanges, and effective approaches for generalized change detection have not yet been demonstrated. We propose to build a ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Deep-False Alarm Suppression Technique (D-FAST)

    SBC: Deep Learning Analytics, Llc            Topic: NGA181003

    Deep Learning Analytics (DLA) will develop the Deep-False Alarm Suppression Technique (D-FAST) algorithm that uses state of the art and

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. GEOFF: Geo-location from Edges, Objects, Foundational data, and a Filter

    SBC: Scientific Systems Company Inc.            Topic: NGA181007

    Ground vehicles with navigation capability (e.g., GPS) can index into foundation data (e.g., Google Maps) to gain situational awareness abouttheir surroundings. When GPS and RF navigation sources are degraded, maintaining situational awareness requires an alternative navigationsource. One alternative source is the foundation data itself. The data contain objects at known 3D locations, which projec ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Video to Feature Data Association and Geolocation

    SBC: Novateur Research Solutions, LLC            Topic: NGA181007

    This SBIR Phase I project proposes a probabilistic approach to determine a vehicles location using onboard video sensors and foundationalmap data. The system does not rely on only one type of information source, instead it combines proposals from a variety of locationestimators to find a vehicles location in GPS-denied environments.The system takes advantage of recent advancements in computer visi ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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