摘要
针对复杂背景遥感图像分割准确率不高的问题,提出了一种基于遗传算子改进阈值的遥感图像分割算法。通过对遗传算法中选择、交叉、变异等算子的优化设计,增强变异的多样性,加快搜索的收敛速度,以获取遥感图像分割的最佳阈值。实验仿真结果表明:该算法降低了阈值搜索时间,同时取得了良好的图像分割结果。
Aiming at the low accuracy of remote sensing image segmentation in complex background, a remote sensing image segmentation algorithm based on improved threshold of genetic operator was proposed. Through the optimization design of selection, crossover and mutation operators in genetic algorithm, the diversity of mutation was enhanced, and the convergence speed of search was accelerated to obtain the optimal threshold of remote sensing image segmentation. The simulation results show that the algorithm reduces the search time of threshold and achieves good image segmentation results.
作者
刘芳华
余丽萍
LIU Fanghua;YU Liping(Zhengzhou University of Light Technology,Zhengzhou Henan 450000)
出处
《河南科技》
2019年第14期37-38,共2页
Henan Science and Technology
基金
河南省教育厅科技攻关项目(14A520034)
关键词
遗传算法
阈值分割
遥感图像
Genetic Algorithms
threshold segmentation
remote sensing images
