摘要
提出一种基于分割后图像形状特征并结合改进Hough变换进行道路提取的方法。该方法首先对图像进行分割,对分割结果使用形状特征进行道路段的初步筛选,使用改进后的Hough变换方法对目标进行筛分、合并和形态优化,完成遥感影像的道路网提取过程。提出的方法能适用于复杂的高分辨率遥感影像中道路段的提取。经过实验分析和比较证明:该方法对于路面灰度均匀性较差及路况复杂、干扰物较多的图片,都达到了较好的效果。
Road extraction from high-resolution remote sensing image is an important and difficult task. The road-extraction method, which uses the integration shape features and the improved Hough transform, is proposed in this paper. Firstly, the image is segmented, and then the linear and curve roads are obtained by using several object shape features. Secondly, the step of road extraction is using the improved Hough transform method to deal with the road targets. Finally, the extracted roads are regulated by combining the edge information. In experiments, the images including the better gray uniform of road and the worse illuminated of road surface were chosen, and the results prove that the method of this study is promising.
出处
《图像与信号处理》
2014年第2期29-38,共10页
Journal of Image and Signal Processing
