Visual Learning Systems, Inc.

Address

1719 Dearborn Avenue
Missoula, MT, 59801-2391

Information

DUNS: 150373442
# of Employees: 470

Ownership Information

Hubzone Owned: N
Socially and Economically Disadvantaged: N
Woman Owned: N

Award Charts




Award Listing

  1. Automated Feature Extraction from Hyperspectral Imagery

    Amount: $600,000.00

    The proposed activities will result in the development of a novel hyperspectral feature-extraction toolkit that will provide a simple, automated, and accurate approach to materials classification from ...

    SBIRPhase II2007National Aeronautics and Space Administration
  2. Light Detection and Ranging (LIDAR) Surface Feature Extraction Tool

    Amount: $1,000,000.00

    NAVAIR requires accurate and timely 3-D geospecific features, terrain, and imagery data to support Modeling and Simulation (M&S) software applications used in training and pre-mission rehearsal simula ...

    SBIRPhase II2006Navy Department of Defense
  3. Automatic Extraction of Urban Features from Terrestrial LIDAR Systems

    Amount: $730,000.00

    The U.S. Army requires automated feature extraction (AFE) software to collect 3D urban features from terrestrial LIDAR data in a timely and cost-effective manner to support the ground-based Warfighter ...

    SBIRPhase II2006Army Department of Defense
  4. Automated Feature Extraction from Hyperspectral Imagery

    Amount: $70,000.00

    In response to NASA Topic S7.01, Visual Learning Systems, Inc. (VLS) will develop a novel hyperspectral plug-in toolkit for its award winning Feature AnalystREG software that will (a) leverage VLS' pr ...

    SBIRPhase I2006National Aeronautics and Space Administration
  5. Automatic Extraction of Urban Features from Terrestrial LIDAR Systems

    Amount: $120,000.00

    The U.S. Army requires automated feature extraction (AFE) software for collecting very high-resolution 3D urban features from terrestrial LIDAR data to support the ground-based Warfighter operating in ...

    SBIRPhase I2005Army Department of Defense
  6. Light Detection and Ranging (LIDAR) Surface Feature Extraction Tool

    Amount: $150,000.00

    The United States Navy vision for Modeling and Simulation (M&S) includes making better analytical decisions, improving warfighting skills, and developing superior systems for maintaining the world's m ...

    SBIRPhase I2005Navy Department of Defense
  7. SBIR Phase II: Discovery Analyst: A Data Mining System for Image Databases

    Amount: $500,000.00

    This Small Business Innovation Research Program Phase II project will develop a highly innovative data mining software tool that is capable of mining imagery and spatial information stored in a databa ...

    SBIRPhase II2004National Science Foundation
  8. SBIR Phase I: Filtering Objectionable Imagery

    Amount: $100,000.00

    This Small Business Innovation Research Phase I project describes a new and innovative approach for filtering objectionable image content distributed on the Internet. As Internet usage in the workplac ...

    SBIRPhase I2004National Science Foundation
  9. Developing a Seamless Integration Between Machine Learning Techniques and Rule-Based Classification of Remotely Sensed Imagery

    Amount: $120,000.00

    The Army has a critical need to accelerate and improve terrain analyses from remotely sensed imagery to support the increasingly mobile requirements of the Army Warfighter. Existing techniques for te ...

    SBIRPhase I2003Army Department of Defense
  10. Developing a Seamless Integration Between Machine Learning Techniques and Rule-Based Classification of Remotely Sensed Imagery

    Amount: $730,000.00

    The proposed system will give an approach for increasing the speed, accuracy, and validation of feature extraction models while simultaneously creating an environment that allows both the flexibility ...

    SBIRPhase II2003Army Department of Defense

Agency Micro-sites

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