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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

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.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. ALARM: Adversarially-learned Labels using Activity and Reward Models

    SBC: APTIMA INC            Topic: NGA191006

    Technological advances in navigation and positioning, along with expanding wireless infrastructure and remote sensing technologies, have resulted in an explosive growth of available trajectory data from a variety of moving objects, such as people, cars, ships, or animals. Traditional trajectory mining algorithms do not explain how and why the motion was generated, limiting their utility in GEOINT ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  2. A User-Centric Gamified Crowdsourcing System for Geospatial Analysts

    SBC: 361 INTERACTIVE LLC            Topic: NGA191007

    Creating comprehensive geospatial datasets requires that National Geospatial Agency (NGA) analysts spend large amounts of time searching for, delineating, and labeling non-moving features in overhead imagery. This tiresome and tedious task can negatively impact not only the analysts’ work satisfaction but also the resulting data quality. Fortunately, recent advances in gamification and crowdsour ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  3. Gamified Analysis Tasks for Heightened Engagement across Repetitions (GATHER)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: NGA191007

    At the National Geospatial-Intelligence Agency (NGA), the ability to serve and analyze data is crucial to the success of efforts ranging from disaster relief to strategic military support. NGA recently created the Office of Automation, Augmentation, and Artificial Intelligence (AAA) which has a goal “to automate routine tasks to give crucial time back to employees.” These automated systems mus ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  4. Improved Image Processing for Low Resolution Imagery with Inter-Frame Pose Variation

    SBC: ETEGENT TECHNOLOGIES, LTD.            Topic: NGA172009

    With respect to digital imaging sensors and systems, obtaining as many pixels on target is a necessity to classify or identify a target for real-time operations and forensic analysis within the intelligence community. Rather than relying on improved sensors, the approach originally solicited and further refined here utilizes super-resolution image processing techniques to provide more detail in th ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  5. Innovative methods for detecting and characterizing electrical grid topologies and induced electrical power transient events from lights

    SBC: SOLID STATE SCIENTIFIC CORPORATION            Topic: NGA191010

    This effort will develop and demonstrate methods for remotely assessing the status of electrical grids based on the illumination from lights powered by those grids. It will lead to the development of low-cost sensors which can be passively assess grid health over a large scale. This effort will assess grid health by exploiting recent advances in high-spatial, high-temporal resolution imaging and t ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. Innovative methods for detecting and characterizing electrical grid topologies and induced electrical power transient events from lights

    SBC: Systems & Technology Research LLC            Topic: NGA191010

    STR is proposing to implement monitoring of power grid state via high-speed, wide-field optical photometry. We will design, test, and implement algorithms on commercially available hardware with the intent of deriving grid topology in addition to detecting, characterizing, and geolocating anomalous events. We will also evaluate fusing the photometry-derived data with other data sources available t ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  7. SURFER: SAR Unsupervised and Robust Feature ExtractoR

    SBC: THE DESIGN KNOWLEDGE COMPANY LLC            Topic: NGA191001

    The NGA requires an automatic, unsupervised SAR feature extraction (AUFE) technique, that can ultimately be deployed for geospatial analysis, modeling, and target detection. Our proposed “SAR Unsupervised and Robust Feature ExtractoR” (SURFER) solution includes in Phase I: (1) a sound and deterministic assessment of the underlying RF phenomenology and SAR processing theoretical basis for effec ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
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