对偶空间上的高分辨率遥感影像道路提取

道路目标的提取是遥感领域的重要研究内容。针对背景复杂的高分辨率遥感影像，论文提出一种在对偶卒间榆测道路目标的算法。该算法包含以下步骤：通过投影变换，分别将直线的灰度级标准差及其边缘梯度矢量均值映射到直线方程的对偶空间；在对偶卒间上，根据直线的标准差和边缘梯度矢量的峰谷分布规律检测道路目标；根据已检测的目标位置，用搜索和跟踪的手段提取连接道路网。实验结果表明，本方法能够很好的提取各种明暗度及一定曲度的道路目标。

Road Extraction from High-Resolution Remotely Sensed Image in Dual Space

Road extraction is one of important research contents in remote sensing field.One kind of road-detecting algorithm in dual space is proposed aiming at high-resolution remotely sensed image with complex background.This algorithm includes the following steps: Firstly,mapping both the pixels gray standard deviation and the grade vector mean of the line objects separately into the dual space by project transform.Secondly,detecting road objects based on the distribution rules of the peak and the valley formed by the two line features of standard deviation and grade mean in dual space.Thirdly,searching and tracking the road objects around the detected locations,and extracting the road network.This proposed algorithm is insensitive to the contrast between road and background,and can detect the roads from the RS images with complex background.And the experiments also indicate that the proposed algorithm is efficient for extracting road network from remotely sensed image.