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基于分水岭算法的地质塌陷遥感识别方法研究 被引量:4

Remote Sensing Identification Method of Geological Subsidence Using Watershed Algorithm
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摘要 地质塌陷是指地面上的岩层、地面土质在自然或人为因素作用下向下陷落,并在地面形成塌陷洞坑的一种地质现象的动力过程。通过采用分水岭算法对遥感图像进行处理,找出图像上的明显地质特征,判断是否有地质塌陷发生在目标区域,达到远程监控的目的。实验结果表明:经过重建后的开闭操作优化的分水岭算法较传统的分水岭算法能更准确地分割遥感图像,并完整地识别出地质塌陷区域,具有重要的理论和实践意义。 The geological collapse is the downward displacement of the rock and ground soil on the ground under natural or human factors.And the geological collapse is a dynamic process of a geological phenomenon by forming a subsidence in the ground as well.In order to achieve the purpose of remote monitoring, the watershed algorithm used to deal with the remote sensing image to find out the obvious geological features on the image to determine whether there is a geological collapse occurred in the target area.The experimental results show that the watershed algorithm optimized by open operation reconfiguration has more important theoretical and practical significance than the traditional watershed algorithm.It can segment the remote sensing image more accurately and completely to identify the geological collapse area.
作者 郑重 张敬东 杜建华 Zheng Zhong;Zhang Jingdong;Du Jianhua(School of Information and Safety Engineering,Zhongnan University of Economics and Law,Wuhan 430074,China)
出处 《地质科技情报》 CSCD 北大核心 2018年第6期226-231,共6页 Geological Science and Technology Information
关键词 遥感图像 边缘提取 分水岭算法 图像分割 地质塌陷 remote sensing image edge extraction watershed algorithm image segmentation geological collapse
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