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. Proposed Feasibility Study for USSOCOMs Austere Environment Virtual Planning Tool (AEVPT)

    SBC: Augmntr, Inc            Topic: SOCOM191001

    USSOCOM seeks to provide Special Operations Force (SOF) Operators with a capable in-field mobile mission planning tool kit that generates 3D virtual models from georeferenced imagery.This system, described in SBIR Topic SOCOM191-001, is the Austere Environment Virtual Planning Tool (AEVPT).AEVPT builds a 3D virtual model for requested Areas of Interest and provides SOF Operators the ability to con ...

    SBIR Phase I 2019 Department of DefenseSpecial Operations Command
  2. Interference Rejection of Strong Signals within Wideband Communication Receivers

    SBC: Space Micro Inc.            Topic: SOCOM183002

    Space Micro will design and demonstrate a plug and fight digital component that filters out undesired intermodulation distortion over the whole HF band. The module we are proposing is highly reconfigurable and can be programmed for different waveforms, interferers, bandwidths and frequencies. It can be demonstrated and implemented using COTS components. We predict that the cost of the proposed wid ...

    SBIR Phase I 2019 Department of DefenseSpecial Operations Command
  3. Evaluation of DDS as the Foundation for aGlobally Integrated Wargaming Platform

    SBC: Real-time Innovations, Inc.            Topic: SOCOM183001

    This topic seeks to fund investigation of open, modular, and emerging technologies and systems that will help advance USSOCOMs capability to attain a globally integrated wargaming solution in order to jointly exercise command and control scenarios simultaneously at multiple tactical, operational and strategic echelons.In Phase I we propose to develop a multi-domain reference architecture, includin ...

    SBIR Phase I 2019 Department of DefenseSpecial Operations Command
  4. Beacon for Partner Force Identification Friend or Foe

    SBC: ATTOLLO ENGINEERING, LLC            Topic: SOCOM183004

    Attollo Engineering proposes a compact non-mechanical covert infrared solution that operates for long durations without recharge or battery replacement.The unit is based on a 2-D mid infrared laser array driven by Attollos unique fast sequencer circuit and emits in the covert MWIR band.The emitter unit uses a hemispherical lens to provide hemispherical emission of signals that are recognizable by ...

    SBIR Phase I 2019 Department of DefenseSpecial Operations Command
  5. Globally Integrated Wargaming

    SBC: Clostra, Inc.            Topic: SOCOM183001

    We provide a machine learning (ML) framework as the underlying technology supporting a globally integrated wargaming platform. Our Phase I feasibility study will provide optimal recommendations for a computationally efficient method of integrating large datasets of sensor feeds, as well as historical data, into an intelligent dynamic integrated wargaming environment. This environment will support ...

    SBIR Phase I 2019 Department of DefenseSpecial Operations Command
  6. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  7. 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
  8. Variational Object Recognition and Grouping Network

    SBC: Intellisense Systems, Inc.            Topic: NGA181005

    To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. Bayesian Urban Degradation Assessment

    SBC: Intellisense Systems, Inc.            Topic: NGA181004

    To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181010

    The National Geospatial-Intelligence Agency (NGA) ingests and analyzes raw imagery from multiple sources to form actionable intelligenceproducts that can be disseminated across the intelligence community (IC). To effectively meet these demands NGA must continue to improveits automated and semi-automated methods for target detection and classification. Of particular concern is furthering NGA's abil ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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