3D shape reconstruction from 2D ISAR measurements
At present, most of 3D reconstruction algorithms only use the range history of scatters for ISAR frame. The reconstruction algorithm that utilizes both range and cross range data is proposed to replace of the method using only the range, which improves the reconstruction accuracy and decreases the least image quantity for the successful reconstruction. 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 acquire the better accuracy performance than the method for range only under the same image quantity.