Dynamic change detection method of vector result data in mine remote sensing monitoring
DIAO Mingguang1(), LIU Wenjing1, LI Jing1, LIU Fang1, WANG Yanzuo2
1. School of Information Engineering, China University of Geosciences(Beijing), Beijing 100083, China 2. China Aero Geophysical Survey and Remote Sensing Center for Natural Resources, Beijing 100083, China
In order to effectively carry out remote sensing monitoring work of mine geological environment restoration and management, the authors established a model for dynamic change detection of vector data, and proposed an automatic method for change detection of vector result data, which is suitable for the change of mine geological features. According to the spatial topological relationship and the attribute change situation of different temporal vector result data, the dynamic change of elements is automatically analyzed and detected, and the plug-in application framework based on ArcGIS Engine (AE) is used to develop the dynamic change detection software of result data. The results show that this method improves effectively the efficiency of dynamic change detection of vector result data, reduces the workload of restoring, harnessing and mining damaged data when they are put into storage, and provides strong support for relevant departments to further monitor the recovery and management of mine geological environment.
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DIAO Mingguang, LIU Wenjing, LI Jing, LIU Fang, WANG Yanzuo. Dynamic change detection method of vector result data in mine remote sensing monitoring. Remote Sensing for Land & Resources, 2020, 32(3): 240-246.
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