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. 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
  2. Boost- A System to Suppress False Alarms from Automated Target Recognizers

    SBC: Seed Innovations, LLC            Topic: NGA181003

    Seed Innovations and subcontractor BIT Systems, a division of CACI International, apply our experience in machine learning, data analytics andimage processing to accomplish the research for the SBIR topic: Suppression of false alarms in Automated Target Recognizers (ATR) that useMachine Learning. With the amount of available imagery data increasing and adversaries vehicles and tactics becoming mor ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. High-Sensitivity Military GPS Receivers

    SBC: NAVSYS CORPORATION, THE            Topic: NGA07001

    Many military users need to operate in areas where GPS signal reception is impeded by building walls, dense foliage and urban canyon. Current military GPS receivers do not operate robustly in these environments which include multipath and varying signal levels caused by partial blockage/non-penetration of signals through different materials. Some vendors in the commercial sector, however, have b ...

    SBIR Phase I 2008 Department of DefenseNational Geospatial-Intelligence Agency
  4. A Radargrammetric Mapping system Using A Priori Info

    SBC: VEXCEL CORP.            Topic: N/A

    Vexcel proposes a system for extracting terrain elevation from large stereo SAR databases using a priori elevation map data. This system will accelerate, automate, and improve the accuracy and robustness of radargrammetricnprocessing for data acquired from wide spectrum of existing and planned SAR platforms.

    SBIR Phase I 1998 Department of DefenseNational Geospatial-Intelligence Agency
  5. Innovative Technology for Generating Digital Terrain Elevation Data Level 2 (DTED-2) Above 60 degrees N

    SBC: VEXCEL CORP.            Topic: N/A

    "Vexcel Corporation proposes to address challenge of providing DTED-2 elevation data in the "north of sixty" latitude region of the earth using civilian spaceborne synthetic aperture radar. SAR data is well suited to complement the already collectedShuttle Radar Topographic Mission (SRTM) data and does not suffer from weather conditions that limit conventional EO systems. Based on prior work, an ...

    SBIR Phase I 2002 Department of DefenseNational Geospatial-Intelligence Agency
  6. SAR Tomography

    SBC: VEXCEL CORP.            Topic: N/A

    The primary goal of the proposed research is to help advance the science and art of SAR tomography and, more generally, 3-D SAR imaging for downstream image exploitation. Vexcel Corporation proposes to delineate the current state-of-the-art in SARtomography for 3-D imaging and subsequent exploitation. There have been a number of tomographic SAR examples described in the literature and elsewhere, h ...

    SBIR Phase I 2003 Department of DefenseNational Geospatial-Intelligence Agency
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