根据高分辨率遥感影像信息提取过程中对影像的对象化分割的需求,分析了均值漂移分割算法的原理,并对其多尺度分割方法进行了设计与实现。实验证明该算法具有较好的影像分割精度。
Remote sensing image segmentation is an important procedure of object-oriented information extraction of high-resolution. The mean shift segmentation algorithm has been applied to many segmentation procedures since it has good effects and perfect efficiencies. Firstly, we give the principle of mean shift segmentation. Then, we present the method to improve the segmentation algorithm and implement a multi-scale segmentation. Finally, the algorithm was evaluated on the basis of experimental comparison and analysis. The results confirm feasibilities of the mean shift segmentation algorithm.