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Barrington, RI, United States

Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 1.50M | Year: 2016

ABSTRACT:A system is proposed to access, collate and process imagery from multiple small satellite constellations. The imagery is fused and registered to a common reference so that exploitation algorithms, such as change detection and event monitoring, are reported with accurate geographic coordinates. The system, called SatTel, is implemented as open source software that is designed to run on the cloud with web-based analyst tools for defining intelligence queries. These queries arise from tasks such as monitoring weapon test sites, and receive timely responses due to SatTels ability to aggregate images based on an integrated portal to access multiple vendor archives. The imagery to satisfy intelligence queries is selected using a rule-based algorithm that matches exploitation algorithm data requirements against available image attributes such as resolution, viewpoint and atmospheric effects. The image fusion process results in useful intermediate products including: a high resolution digital elevation model (DEM) and a controlled orthorectified image base map (CIB). These products are exported in standard formats such as GEOTIF and NITF. The image exploitation algorithms include: global change detection, event triggers and vehicle tracking and are exported as attributed shape files, a format accepted by many current analyst tools, such as ArcGIS.BENEFIT:Oil and Gas energy, Natural Resource management: agriculture and forestry, Insurance, Fleet management, Real estate, city planning and engineering


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 749.86K | Year: 2015

ABSTRACT: VSI proposes the development of the SIGMA (Speedy Imagery Geo-registration and Motion Analysis) system, which will address three key requirements by the end of Phase II: (i) adapt to different type of sensors, sensor-configurations and sensor operating conditions, (ii) handle large amount of data in real-time or close to real-time using limited resources, and (iii) operate under conditions such as lack of metadata in case of GPS-denied areas and linear, unbounded trajecto-ries. The central tenet of the proposed approach will be formation of a graph where the nodes will be a group of images and these nodes will be connected to each other if there is a spatial or temporal connectivity. Furthermore, the development in Phase II will leverage Phase I develop-ments, specifically the robust online SFM system, which was successfully tested on multiple da-tasets such as CLIF 2007, MAMI and synthetic datasets, and (ii) the demonstrated feasibility of the dynamic graph- representation to handle large amounts of image data and variable camera geometry constraints. The proposed system is a plugin-based framework which will allow each of the components to be replaced by different implementations or algorithms to allow the system to work flexibly under different operating conditions. BENEFIT: Real-time mapping of aerial imagery for urban planning, construction and disaster relief and real-time traffic updates.


Trademark
Vision Systems, Inc. | Date: 2016-05-17

Downloadable electronic data reports, comprised of real estate title plant data, searcher notes, property files and research, for users of title evidence to evaluate particular residential and commercial properties.


Trademark
Vision Systems, Inc. | Date: 2015-08-24

Downloadable electronic data reports, comprised of real estate title plant data, property files and research, for users of title evidence to evaluate particular residential and commercial properties of the record owner.


Trademark
Vision Systems, Inc. | Date: 2015-08-24

Downloadable electronic data reports, comprised of real estate title plant data, property files and research, for users of title evidence to evaluate particular residential and commercial properties in pre-foreclosure status.

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