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. Sea Tag-SP: A family of acoustic enabled satellite tags for spawning detection and more

    SBC: DESERT STAR SYSTEMS, LLC            Topic: 812

    Phase-1 demonstrated the powerful and unusual remote sensing opportunities available by adding acoustic signal detection to pop-up satellite tags (PSAT). The time and location of spawning define the starting point in the life history of fish. Yet this event, which is of critical importance to fishery researchers and managers seeking to gain an understanding of distinct reproductive populations and ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Development of a Functional Balloon-borne GNSS-RO System Prototype

    SBC: Night Crew Labs, LLC            Topic: 811

    The SBIR Phase II proposal outlines the approach of Night Crew Labs (NCL) in designing, and developing, and testing a system prototype to perform Global Navigation Satellite System radio occultations (GNSS-ROs) from a high-altitude balloon platform. NCL will continue building from the positive results achieved in Phase I that successfully demonstrated the feasibility of performing balloon-borne GN ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Fog Viewer

    SBC: Areté Associates            Topic: 826

    The presence of fog reduces visibility, contributing to unsafe conditions for many maritime tasks. The current system uses active backscatter and has high power requirements, high maintenance and replacement costs. Areté Associates’ innovative FogViewer system comprises a passive multi-spectral, multi-polarization sensor suite that leverages available degrees of freedom to best characterize the ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Low-cost Mooring Location Beacon for Coastal Applications

    SBC: TOYON RESEARCH CORPORATION            Topic: 825

    Subsurface mooring beacons are used to provide notifications and assist in locating moored assets that have surfaced and are free drifting. Their nominal design is driven by the requirements for offshore use where they need to survive extreme depths and remote deployment, most often using satellite constellations for communication and geo-location. Existing beacons serve their purpose well, but th ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  6. 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
  7. Variational Object Recognition and Grouping Network

    SBC: Intellisense Systems, Inc.            Topic: NGA181005

    To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  8. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181010

    The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. Generalized Change Detection to Cue Regions of Interest

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181006

    Toyon Research Corporation proposes to research and develop algorithms for generalized change detection, by leveraging and exploringexisting and proven effective traditional and deep learning methods, with a unique 3D reconstruction component. The vast majority of themassive amounts of imagery data will have small pixel level differences due to a multitude of unimportant changes: minor misregistra ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Improving Uncertainty Estimation with Neural Graphical Models

    SBC: MAYACHITRA, INC.            Topic: NGA181005

    Building interpretable, composable autonomous systems requires consideration of uncertainties in the decisions and detections theygenerate. Human analysts need accurate absolute measures of probability to determine how to interpret and use the sometimes noisy resultsof machine learning systems; and composable autonomous systems need to be able to propagate uncertainties so that later reasoningsyst ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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