SAR Structure-From-Motion via Matrix Factorization

Structure-from-Motion (SfM) is the process of estimating 3D scene structure and sensor pose from a set of 2D inputs. In this paper, we present a matrix factorization scheme for solving SAR SfM problem. First, SAR imaging model is linearized at local scene and the SfM problem is converted to a problem that decomposes data matrices into the product of two kinds of matrices, one of which satisfies Stiefel constraint. We then propose a Riemannian conjugate gradient descent algorithm leveraging the Stiefel constraint. SAR SfM is solved by the proposed algorithm via alternating iteratively estimating radar pose and scene structure. Finally, the feasibility and accuracy of the proposed scheme are verified through experiments.