应用启发式边缘生长的遥感影像分割

摘要

In view of difficulties of edge point detection and edge line linking in edge-based segmentation, this paper proposes a new segmentation method for remote sensing images based on heuristic edge growing. First, improvements are made to the Canny operator for edge point detection including adaptive wavelet de-noising, optimal double-threshold calculation and edge point decision based on total variation. A new heterogeneity index of edge linking is defined, which includes spatial heterogeneity and spectral heterogeneity. Heuristic decision of global mutual best fitting is then proposed to link broken edges of the same target as far as possible. Experiments are carried out using Quickbird image and aerial image to evaluate the proposed method. Segmentation results are compared to those obtained with eCognition, showing that the proposed method can link most edges correctly and produce accurate segmentation results.%基于边缘的遥感影像分割方法有两个难点:边缘点检测和边缘线连接.文中提出一种基于启发式边缘生长的分割方法.首先对Canny算子进行三方面的改进以准确提取边缘点:自适应小波去噪、最优双阈值计算、基于邻域全变分的边缘决策.定义一个新的边缘连接异质性指标,包括空间异质性和光谱异质性.在此基础上提出启发式的全局交互最优决策技术以正确连接断裂边缘线.文中用快鸟影像和航空影像进行分割实验,并与eCognition的分割结果进行定性和定量比较.实验表明启发式边缘生长分割方法能正确地连接绝大多数边缘线,并提供准确的分割结果.