节点文献
基于阈值标记的分水岭算法遥感图像道路提取
Road Extraction from Remote Sensing Image by Watershed Algorithm Based on Threshold Marker
【摘要】 针对传统分水岭分割算法在遥感图像道路信息提取过程中存在过分割和计算量大的问题,提出基于阈值标记的分水岭改进算法,从而获得有效的遥感图像道路信息。实验结果表明,该方法有效地避免了伪极小值对图像处理的影响,减少了计算的重复率,有效地提取出遥感图像道路信息,针对遥感图像道路信息识别提取算法的研究具有广泛应用的价值和学术意义。
【Abstract】 Aiming at the problems that the traditional watershed segmentation algorithm has over-segmentation and a large amount of computation in the process of road information extraction from remote sensing image,a watershed improvement algorithm based on threshold marker is proposed to obtain effective path image information from remote sensing image. The experimental results show that the proposed method can effectively avoid the influence of pseudo-minimum value on image processing,reduce the repetition rate of calculation and effectively extract the road information from remote sensing image. The research on road information recognition and extraction algorithm from remote sensing image has wide application value and academic significance.
【Key words】 image segmentation; watershed segmentation; multiscale morphological gradient; two dimensional maximum entropy;
- 【文献出处】 长春大学学报 ,Journal of Changchun University , 编辑部邮箱 ,2019年06期
- 【分类号】TP751
- 【被引频次】15
- 【下载频次】523