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    The DARPA of geospatial

    When you think of NURI, think of the Defense Advanced Research
    Projects Agency...but only for geospatial projects.


    NURI stands for NGA University Research Initiatives. NGA, of
    course, is the National Geospatial-Intelligence Agency, a combat
    support agency at the Defense Department.


    The NURI project has been operating since 1997 and has already
    awarded 103 grants to researchers at more than 60 universities to
    investigate topics related to geospatial intelligence. Each grant
    is for three years and generally amounts to $150,000 per year.


    This year's awards (GCN.com/1201) range from
    one for a research project on 'Spaceborne Magnetic
    Gradiometry after Swarm: Novel Approaches to Mapping the
    Earth's Magnetic Field Employing Nonlinear Magneto-Optical
    Rotation Sensors' to a project titled 'Purpose- Aware
    Dynamic Graph Models for Representing and Reasoning about
    Networks.'


    Seem like a long way from digital mapping? Actually, no:
    Geospatial intelligence involves a lot more than mapping. NGA has
    distilled its research road map into these six broad topic
    areas:



    • Acquire: Including sensor networks, detection of moving
      objects.

    • Identify: Spatiotemporal data mining.

    • Integrate: Image data fusion, reuse and preservation of
      data.

    • Analyze: Visualization, process automation vs. human
      cognition.

    • Disseminate: Multilevel security.

    • Preserve: Grid computing for geospatial data, reuse and
      preservation of data.


    NGA's InnoVision Directorate, tasked with 'the focal
    point in NGA to address the future,' oversees the NURI
    program. Ernie Reith, deputy director of the InnoVision
    Directorate, said a lot of basic scientific research needs to be
    done to improve geospatial intelligence. For example, the agency
    looks to the first project mentioned above ' the one
    involving mapping Earth's magnetic field ' to
    eventually help researchers improve the accuracy of Global
    Positioning System devices and control orbits of satellites. The
    research could also help provide more accurate electronic targeting
    capabilities.

    A more detailed road map ' which Reith said is not public
    ' deals with a broad spectrum of specific challenges. They
    include finding ways to track criminals or terrorists, detecting
    weapons of mass destruction and finding ways of discovering
    relevant data in a large database. Reith said the program's
    priorities cover a lot of ground, 'from actual intelligence
    problems to helping the analyst out to display devices.'


    Each year, a panel of senior NGA scientists ranks proposed
    topics against the road map and then finalizes a list of specific
    topics. Universities then write proposals on those lists of topics
    are made with the input of other intelligence agencies.


    The four topic areas for 2008 were:



    • The 'geopotential' of gravity and the magnetic
      field.

    • Developing efficient target detection and tracking techniques
      using image data from multiple sources.

    • Research on improving techniques for automatically extracting
      features from remotely sensed imagery by using contextual
      cues.

    • Research to develop analytic tools and techniques that track,
      monitor and predict natural or anthropogenic activities and provide
      estimates of the causes of visual scenes.


    Some trends can be discerned in the evolution of research topic
    areas. Previous years were more heavily weighted toward areas of
    data acquisition, for example, while this year's topics lean
    toward basic research affecting the tracking of objects.

    As for the future? 'There are challenges out there that I
    suspect we're going to see along the lines of data storage
    and data discovery,' Reith said. 'Something we hear
    back from people in the field is that, with all of the data sources
    that are being provided, there's an awful lot of difficulty
    finding the data that they need.'



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