A Novel ISAR Cross-Range Scaling Algorithm Based on Image Entropy Minimization

Cross-range scaling can transform range-Doppler imaging results of targets into range Cross-range images, which is beneficial to accurate size estimation and feature extraction of targets. Accurate rotation angle estimation is a necessary condition for cross-range scaling. In this paper, a robust ISAR cross-range scaling algorithm is proposed. In this method, the degree of focus of the target imaging result is taken as the objective function, the target motion parameters are solved by the snow ablation optimizer (SAO) algorithm, and then cross-range scaling is realized. The effectiveness and performance of the proposed method are verified by simulation.