Closed

Reset

NOTE: The Solicitations and topics listed on this site are copies from the various SBIR agency solicitations and are not necessarily the latest and most up-to-date. For this reason, you should visit the respective agency SBIR sites to read the official version of the solicitations and download the appropriate forms and rules.

  1. NGA182-001: Faster Optical Modem for Underwater Data Acquisition

    Release Date: 04-20-2018Open Date: 05-22-2018Due Date: 06-20-2018Close Date: 06-20-2018

    TECHNOLOGY AREA(S): Sensors, Electronics  OBJECTIVE: Underwater optical modem optimized to receive low power data transmissions from blue-green LEDS, for ultrafast signal acquisition and recording.  DESCRIPTION: Existing optical modems for underwater use are able to acquire signals embedded in impinging light within a few milliseconds or better (e.g., Sonardyne U.K.; SA P ...

    SBIR National Geospatial-Intelligence AgencyDepartment of Defense
  2. NGA181-001: Topographic Feature Extraction from ground-based still and video imagery

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems  OBJECTIVE: Fully automate the process of extracting topographic features, such as ridge lines, peaks, skylines, and river banks, from imagery taken at near-ground levels, showing landscapes, hills, mountain ranges, and/or other topographic features.  DESCRIPTION: NGA has an interest in knowing the earth, whether from satellite imagery, or ...

    SBIR Department of DefenseNational Geospatial-Intelligence Agency
  3. NGA18A-001: Algorithms for Look-down Infrared Target Exploitation

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems  OBJECTIVE: Identify Physics-based novel signatures and develop data processing methods to exploit infrared (IR) imagery and motion imagery.  DESCRIPTION: Much effort in past decades was devoted to collecting signatures of ground-order-of-battle (GOB) targets in IR imagery, in order rapidly detect and identify targets from platforms operati ...

    STTR Department of DefenseNational Geospatial-Intelligence Agency
  4. NGA181-002: Cloud computing architecture for next generation video

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems  OBJECTIVE: Engineer solutions to address enterprise cloud adoption and distributed computer processing challenges for current and next-generation video content, consistent with mixed media formats and wide viewer and machine applications.  DESCRIPTION: Consistent with recent direction from the Deputy Secretary of Defense, "Acceleratin ...

    SBIR Department of DefenseNational Geospatial-Intelligence Agency
  5. NGA181-008: Blending Ground View and Overhead Models

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems, Human Systems  OBJECTIVE: Develop techniques that use information from deep models trained on ground-view images to learn representations of similar objects for overhead models. Demonstrate the ability to teach a neural network an object class for overhead imagery from ground-view examples.  DESCRIPTION: The current approach for automated ...

    SBIR Department of DefenseNational Geospatial-Intelligence Agency
  6. NGA181-007: Video to Feature Data Association and Geolocation

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems  OBJECTIVE: Using video data (potentially 360-degree video) from sensors on ground vehicles with approximate geolocation information, develop algorithms to use foundational features (such as building footprints, corners of road intersections, and other labeled objects) to establish associations between segments in the observed imagery and object feat ...

    SBIR Department of DefenseNational Geospatial-Intelligence Agency
  7. NGA181-010: Low-Shot Detection in Remote Sensing Imagery

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems, Sensors, Electronics, Battlespace  OBJECTIVE: Develop novel techniques to identify and locate uncommon targets in overhead and aerial imagery, specifically when few prior examples are available. Initial focus will be on panchromatic electro-optical (EO) imagery with a subsequent extension to multi-spectral imagery (MSI) and/or synthetic aperture ...

    SBIR Department of DefenseNational Geospatial-Intelligence Agency
  8. NGA181-006: Generalized Change Detection to Cue Regions of Interest

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems  OBJECTIVE: Using frequent revisit imagery, determine when a significant change has occurred that warrants further analysis, using a representation of a model of significance that can be specified on a sliding scale.  DESCRIPTION: Overhead imagery, such as small satellite imaging systems, will soon be able to provide imagery of the entire p ...

    SBIR Department of DefenseNational Geospatial-Intelligence Agency
  9. NGA181-003: Suppression of false alarms in Automated Target Recognizers that use Machine Learning

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems, Human Systems  OBJECTIVE: Develop methods to suppress false alarms in Automated Target Recognition systems that use machine learning to recognize designated objects.  DESCRIPTION: Over the past decade, improvements to machine learning techniques have enabled them to eclipse the performance of other computer vision algorithms for object re ...

    SBIR Department of DefenseNational Geospatial-Intelligence Agency
  10. NGA181-009: Miniaturization of Neural Networks for Geospatial Data

    Release Date: 11-29-2017Open Date: 01-08-2018Due Date: 02-07-2018Close Date: 02-07-2018

    TECHNOLOGY AREA(S): Info Systems  OBJECTIVE: Apply and develop techniques in miniaturizing neural networks to models specifically designed for geospatial data. Identify and quantify accuracy loss, speed improvements, and size savings any models that are studied.  DESCRIPTION: As neural networks and deep learning continue to show improvements on standard benchmark datasets, ...

    SBIR Department of DefenseNational Geospatial-Intelligence Agency

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government