SAR image segmentation based on quantum-inspired multiobjective evolutionary clustering algorithm

Yangyang Li, Shixia Feng, Xiangrong Zhang, Licheng Jiao

Abstract: Highlights•The image segmentation based on the clustering can be formulated as an optimization problem.•We design a novel multiobjective optimization to solve the image segmentation.•The multi-state quantum bits are used to represent individuals.•A simple heuristic method is adopted to select a preferred solution from the final Pareto front.•Our proposed method is tested on one simulated SAR image and two real SAR images.