国土资源遥感Issue(3)：113-116,4.
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
摘要
Abstract
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Key words
Remote sensing/ Coal mine/ Surface collapse/ ORD boundary extraction分类
信息技术与安全科学引用本文复制引用
王钦军,陈玉,蔺启忠..矿山地面塌陷的高分辨率遥感识别与边界提取[J].国土资源遥感,2011,(3):113-116,4.基金项目
国家863项目(编号:2009AA12Z147,2009AA12Z102)和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. （编号:2009AA12Z147,2009AA12Z102）
