3D Shape Reconstruction from Range Measurements of ISAR

This paper proposes a novel reconstruction algorithm developing from the earlier work by Stuff. The proposed algorithm acquires better computational efficiency and reconstruction accuracy by reducing the redundant parameters describing the geometry invariants. The 3D Euclidean distances between points are used to evaluate the accuracy performance of the proposed algorithm. The experiment results show that the proposed algorithm obtain satisfied results even in the presence of noise.