结合区域生长和水平集的遥感影像道路提取

提出了一种基于主成分分析(PCA)的彩色区域生长算法，并将该方法与水平集方法相结合用于高分辨率遥感影像中城市道路的提取。首先利用区域生长方法分割出大致的道路区域;然后利用预分割的结果构造初始水平集函数，进一步利用一种消除重新初始化操作的水平集方法进行道路边缘演化;最后，提出了一种不用反复初始化的水平集局部边缘修正算法，并利用该方法对因障碍物影响而错分的局部道路边界进行修正。实验结果表明，该方法能完整、有效地提取高分辨率遥感影像中的道路目标，且人工干预较少，具有较强的实用性和抗噪能力。

Road extraction from remote sensing images combining region growing with level set

A color region growing algorithm based on PCA(Principal Component Analysis) was proposed.Level set method was employed to extract urban roads from high-resolution remote sensing images.Firstly,the region growing algorithm was applied to the preliminary road segmentation,and then the roughly obtained road region was used to construct the initial level set function,which then evolved stably according to a level set evolution equation without re-initialization.Finally,a regularizing local edge algorithm based ...