SBIR-STTR Award

On recent AFRL/IFEC projects, it has been demonstrated that multi-sensor data and exploitation techniques can interoperate and coexist through a reusable library toolkit architecture. This software library toolkit has and is being assembled and demonstrated as an application called Geo*View; although, custom or commercial application developers can use the toolkit to develop or augment their own application. For this HOTDOGS system design and development, the LPA and PAR Team proposes to augment the current toolkit with Government and Commercial Off-the-Shelf (GOTS and COTS) algorithms and software libraries to develop an integrated system that can support the automated generation of MASINT products from both active and passive imagery sources. The Team will maximize use of existing exploitation techniques and software developed for the DoD, and the Team will use a plug-in design approach similar to that used during the implementation on the AFRL HyperVISE capability

The proposed HOTDOGS system is a simple, easy-to-use prototype analysis tool designed to aid an image analyst in the detection, characterization, and monitoring of hardened and deeply buried targets. The system quickly orients the analyst to "when and where," allowing the analyst to focus on "how and why." HOTDOGS encourages consistency and efficiency through analyst collaboration within a common intelligence picture. The HOTDOGS System will contain a structured database for storage of features identified from imagery or other intelligence sources. These features will be characterized, as a minimum, by time, geo-location, and feature type. An integrated interface will be developed to provide the user with a single point of contact for their tasks. The interface will support project management, visualization, layer management, feature creation, search, and image analysis.

Keywords:
Intelligence, Hdbt, Underground Facility, Geoint