矿山地面塌陷的高分辨率遥感识别与边界提取  

Surface Collapse Identification and Its Boundary Extraction Using High Resolution Remote Sensing

作　　者：王钦军[1] 陈玉[1] 蔺启忠[1] 

机构地区：[1]中国科学院数字地球重点实验室,中国科学院对地观测与数字地球科学中心,北京100094

出　　处：《国土资源遥感》2011年第3期113-116,共4页Remote Sensing for Land & Resources

基　　金：国家863项目(编号:2009AA12Z147,2009AA12Z102);中科院对地观测中心数字地球科学平台重大项目(编号:DESP01-04-10)共同资助

摘　　要：为在高分辨率遥感图像上准确识别地面塌陷、圈定其边界、提取其面积,总结了地面塌陷遥感影像识别标志,提出了一种边界提取方法。该方法以GeoEye高分辨率遥感图像为数据源,在图像融合的基础上,首先用Robert算子和方向算子对融合图像进行边缘增强;然后分别选择原始图像和上述2种边缘增强图像的第一波段进行假彩色合成(Original,Robert and Direction enhanced image,ORD);最后利用ArcGIS软件圈定地面塌陷的边界并提取其相关参数。研究结果表明,该方法可以有效地突出地面塌陷边界,提高其面积提取的精度。In order to extract surface collapse＇ s boundary and calculate its area precisely, this paper summed up the identification keys to hazards and introduced a method for extracting the boundary of surface collapse. In this method, high resolution remote sensing image is used as the data source. Based on image fusion, the authors applied the Robert and Directional operators to the fused image respectively. Next, the first band in the original and two enhanced images were used to form false color image （Original, Robert and Direction enhanced image, ORD）. Finally,the surface collapse area was calculated using ArcGIS software. The results show that the method can highlight the boundary of the surface collapse and reduce the error of the area calculation effectively.

关 键 词：遥感 煤矿 地面塌陷 ORD边界提取 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]