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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. Advanced Signal Processing for Non-Literal Exploitation of Spectral Imagery

    SBC: APPLIED SIGNAL & IMAGE TECHNOLOGY, INC.            Topic: NGA04001

    To maximize the utility of spectral imagery sensors it is essential that processing techniques for data from these sensors are highly automated, provide high probability of target detection with low false alarm rates, and offer a reliable confidence assessment capability. The detection and false alarm probabilities required for a hyperspectral sensor to be a useful intelligence asset varies based ...

    SBIR Phase I 2004 Department of DefenseNational Geospatial-Intelligence Agency
  2. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  3. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. A NEW MACHINE LEARNING TECHNIQUE FOR ACCURATELY FORECASTING EXTREME PRECIPITATION FROM LANDFALLING ATMOSPHERIC RIVERS

    SBC: INNOVIM, LLC            Topic: 9503

    Atmospheric rivers transport large volumes of water vapor outside the tropics and when landfalling, produce large quantities of rain that replenish aquifers, contribute to beneficial increases in snowpack, yet can cause flooding and damage. Accurate forecasts of precipitation during landfalling atmospheric rivers are critical because they play a large role in water supply and flooding. However, th ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  5. An Ultrawideband RFI-Mitigating Software Defined Radiometer

    SBC: DeepSpace Technologies, Inc            Topic: 94

    Anthropogenic Radio-Frequency Interference (RFI), or interference from human-generated sources, continues to plague spaceborne microwave radiometer and sounder instruments. Unmitigated RFI adversely affects the quality and reliability of Earth remote sensing data used for determining water availability, quality, and risk. Proliferation of wireless technologies, Earth-orbiting commercial satellite ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  6. A Tide To Table Traceability and Marketing System for Shellfish Aquaculture.

    SBC: Shellfish Solutions Inc.            Topic: 9101

    In 2017 the CDC estimated 35,000 American got sick from Vibrio parahaemolyticus transmitted by shellfish--a 54% increase. However, according to the co-chair of the Interstate Shellfish Sanitation Commission, “Our current system of traceback is inadequate.... Records are lost. Handwriting is illegible. More than half of all traceback investigations fail because the information in the value chain ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Automated Detection of Whale Blows in Infrared Video

    SBC: SONALYSTS INC            Topic: 816F

    The gray whale migration generates many hours of video that must be examined carefully to identify passing whales and get an accurate count of their numbers. Unfortunately, humans lack the necessary attention span. To solve this problem, a detector will be developed that can process hours of video, detecting whale blows while minimizing false positives and negatives. With an accurate record of ...

    SBIR Phase I 2011 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Climate Impact Visualization Tools Using Virtual 3D City for Community Based Planning and Outreach

    SBC: Intelligent Automation, Inc.            Topic: 931RC

    Intelligent Automation, Inc. proposes an innovative visualization tool that transforms online GIS mappers into a climate impact assessment and planning tool that allows planners to visualize the impact of storm surges with sea level rise and coastal erosion using a 3D virtual city. The goal is to assist planners and emergency services to adapt to climate change at three tiers: i) Tier 3 (Long-te ...

    SBIR Phase I 2013 Department of CommerceNational Oceanic and Atmospheric Administration
  9. CloudVS: Next Generation Video Services In Cloud Computing

    SBC: Intelligent Automation, Inc.            Topic: NGA181002

    With the explosive growth of Internet of Things (IoT) and mobile communication technologies, media streaming service and applications basedon video content have gained remarkable popularity and interest from users. When someone is using their device to record a video, then sharethat video with friends through a certain website (e.g. Netflix, YouTube), the process may sound simple from the user sid ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Computational Hypothesis Space for Integration of Geospatial Information

    SBC: COMPUSENSOR TECHNOLOGY CORP.            Topic: N/A

    The goal of this project is to develop an attention-guided pattern and geospatial analysis system for imagery exploitation. This new technology will be based on the dynamic receptive field model of visual attention that has emerged from neuroscienceresearch. The attention system holds the key to the success of the vision systems of many higher form animals struggling to survive: They see what they ...

    SBIR Phase I 2001 Department of DefenseNational Geospatial-Intelligence Agency
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