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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.

  1. A Multi-Branch Network for Automated VNIIRS Assessment of Motion Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA191003

    Due to the lack of consistency in existing automated methods for assigning VNIIRS levels to motion imagery, and the overwhelming human resources required to manually assign levels, a new method of automated/semi-automated VNIIRS assessment is needed. In recent years, advancements in deep learning have provided solutions to previously intractable computer vision problems. In many cases, automated d ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  2. Automating the Semantic Labeling of Trajectory Data

    SBC: Intelligent Models Plus Inc.            Topic: NGA191006

    Advances in location-acquisition and mobile computing techniques have generated massive spatiotemporal trajectory data, which represent the mobility of a diversity of moving objects, such as people, vehicles, and animals. Moreover, recent research has tabbed learning of how to automatically explain and anticipate both the observable and abstract trajectories as one of the likely keys to building t ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  3. Improved detection sensitivity, geolocation accuracy, and create novel GEOINT products for OTHR radar systems (IGOR)

    SBC: Expedition Technology, Inc.            Topic: NGA191008

    Over the Horizon Radar (OTHR) has been a deployed capability for over 3 decades. OTHR uses the ionosphere to reflect HF radar signals in order to illuminate objects (potential targets) beyond the horizon, giving it a potential effective range of several hundred to a few thousand kilometers. Understanding how the HF radar signals interact and reflect off the ionosphere is crucial to accurate target ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  4. Multi-hop processing for OTHR range extension (MOHAIR)

    SBC: Expedition Technology, Inc.            Topic: NGA191011

    Over the Horizon Radar (OTHR) has been a deployed capability for over 3 decades and uses the ionosphere to reflect HF radar signals in order to illuminate objects (potential targets) beyond the horizon, giving it a potential effective range of several thousand kilometers. This range is impressive, but it assumes/takes advantage of only one bounce off of the ionosphere. The capability to take advan ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  5. Asynchronous Active 3D Imaging

    SBC: SCIX3 LLC            Topic: NGA183001

    Recent advances in LiDAR, detector, and airborne systems technology have opened the door to small, high-performance, and significantly lower-cost alternatives over currently deployed airborne LiDAR imaging systems. CSLabs’ proposed initiative leverages modeling and simulation (M&S) to evaluate the efficacy of new approaches with the potential to disrupt the existing LiDAR imaging paradigm. Where ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. 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
  7. Faster Optical Modem for Underwater Data Acquisition

    SBC: SA Photonics, Inc.            Topic: NGA182001

    SA Photonics’ Optical Navigation and Ranging (ONAR) system is an interrogative system that operate underwater in wavelength range of blue/green (450-540 nm) and enables navigational correction to IMU based dead reckoning navigation. The location based beacons are battery operated and have operational life span of over one year. The system is designed to operate in on demand burst mode so that no ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  8. High stretch, environmentally robust hybridsil, perfluoroelastomer barrier composits for CBRN protective ensembles

    SBC: Nanosonic Inc.            Topic: CBD181003

    Electro-optical infrared and long wavelength infrared detectors and sensors are increasingly important for the Chemical/Biological Defense community. Solid-state optical cooler materials are in demand for replacing mechanical closed cycle coolers used in current LWIR standoff sensors to achieve cryogenic temperatures. Recent advances in optical cooling of rare-earth doped materials are pointing to ...

    SBIR Phase I 2019 Department of DefenseOffice for Chemical and Biological Defense
  9. Durable Stretch Barrier Materials

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: CBD181003

    The proliferation of weapons of mass destruction (WMDs) presents a serious security threat to U.S. and allied personnel around the world. Military personnel and first responders must be prepared to operate under a wide range of chemical, biological, radiological, nuclear (CBRN) threats. Commercially available CBRN protective suits are bulky offering little dexterity to the wearer, therefore new st ...

    SBIR Phase I 2019 Department of DefenseOffice for Chemical and Biological Defense
  10. 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
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