Hardened or Deeply-Buried Target (HDBT) Optimization Techniques for Detecting Obscure Geomorphic States (HOTDOGS)

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.