摘要
由于合理有效地选择分割阈值较难,因此基于阈值分割的道路信息提取方法对于遥感影像中含有多种类型道路、或非道路地物干扰比较明显的情况适用性不理想。为此,提出了一种将Mean Shift和阈值分割相结合的方法来提取道路信息。首先,采用Mean Shift方法对遥感影像进行平滑处理,在较好地保持道路边缘信息的同时使道路内部的纹理分布更加均匀;其次,对平滑处理后的影像进行Mean Shift分割处理,将具有相同或相似灰度值的道路用一种灰度值显示;然后,选择灰度直方图中像素数量值高的线所对应的灰度值作为分割区间边界点进行多阈值分割,得到初始道路信息;最后,对初始道路信息进行后处理,得到最终的道路信息。实验证明,该方法可以完成对遥感影像中道路信息的提取,拓宽了阈值分割方法提取道路信息的使用范围。
Because the choice of the reasonable and effective threshold of segmentation is rather difficult, the method based on threshold segmentation is not applicable to extracting road information from remote sensing images in that there are obviously multiple types of road and non-road feature interference. To tackle this problem, the authors propose in this paper a method which combines Mean Shift algorithm with threshold segmentation to extract road information. Firstly, the Mean Shift is used to smooth the image, then the texture distribution is made more uniform in the road and the edge of the road is kept. Secondly, the Mean Shift segmentation is used to segment the image, and group the roads which have the same or similar gray values into one gray value showing. Thirdly, as different kinds of color information of the road have different showing characteristics in the gray-level histogram, the gray value which has relatively more numbers of picture elements is taken as the segment range boundary point to obtain the original road information by using multi -threshold segmentation. Finally, post -processing of the original road information is made to obtain the road. The experiment results indicate that this method can extract the road information from the remote sensing imagery and broaden the scope of the use of the threshold segmentation to extract the road information.
出处
《国土资源遥感》
CSCD
北大核心
2015年第2期56-62,共7页
Remote Sensing for Land & Resources
基金
"内蒙古自治区高等学校青年科技英才支持计划资助"项目(编号:NJYT-14-B09)
关键词
多种类型道路
信息提取
Mean
SHIFT
阈值分割
Mean Shift
various types of roads
information extraction
Mean Shift
threshold segmentation
