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. Densely Connected Neural Networks for Remote Sensing

    SBC: Lynntech Inc.            Topic: NGA181010

    The objective of this project is to design a software architecture based on densely-connected neural network to perform automatic targetsegmentation and recognition using training datasets of limited size (low-shot). Deep learning architectures have proved to be extremelyeffective at object detection and recognition, but such capability comes at the cost of having large labeled datasets. Such data ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Geo-registration of Aerial Imagery Using 3-D Volumetric Models

    SBC: Computer Visioin Group, Inc            Topic: NGA11001

    With the advancement of aerial imaging sensors, high quality data equipped with partial sensor calibration models is available. There is a recent research activity in computer vision community that aims to reconstruct 3-d structure of the observed scenes relying on the content of the imagery in fully automated ways. However the research has not matured into robust systems ready for operational set ...

    SBIR Phase I 2011 Department of DefenseNational Geospatial-Intelligence Agency
  3. Modularized Transliteration Engine based on DMS

    SBC: SEMANTIC DESIGNS            Topic: NGA06001

    This SBIR project will define a means for specifying and executing multiple transliteration systems to map written words in scripts in a variety of natural languages into Latin scripts. The work will investigate the issues behind transliteration of place names. It will define a domain-specific language, TSL, in which a transliteration system can be coded in a format easily written, understood and ...

    SBIR Phase I 2006 Department of DefenseNational Geospatial-Intelligence Agency
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