Three-Dimensional (3-D) Synthetic Aperture Radar (SAR) Image Formation and Exploitation
Small Business Information
500 West Cummings Park - Ste 3000, Woburn, MA, 01801
AbstractOur main objective is to develop, implement and test novel level-set surface reconstruction methodologies as applied to SAR data that has been collected over a sparse 3D aperture. We believe a tomographic surface reconstruction can best exploit nonlinear models and sparse data collection geometries: These configurations are not readily amenable to more traditional Fourier-based or filtered back-projection (FBP) reconstruction methods. Phase I of this effort will comprise a proof-of-concept stage during which both the radar signal processing, imaging algorithms and hardware implementation concerns will be addressed directly. We will demonstrate a functionality that will effect 3D imaging using existing, albeit augmented, techniques, as well as new capabilities that will effect 3D surface reconstruction via novel level-set techniques. Throughout we will emphasize the development of a solution methodology that is aligned with the end-to-end goal of obtaining a fieldable and modular set of integrable components. Phase II will concentrate on the further development, larger-scale implementation, testing and performance analysis of the techniques developed under Phase I. This includes integration and testing in a lab setting of a modular prototype system using the components developed in Phase I.
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