李思发,李亮,安全.基于GF2卫星数据的矿山遥感监测方法及对象识别研究[J].贵州地质,2022,39(1):87-92
基于GF2卫星数据的矿山遥感监测方法及对象识别研究
Research on Mine Remote Sensing Monitoring Method and Object Recognition Based on GF2 Satellite Data
投稿时间:2021-02-01  
DOI:
中文关键词:  遥感  GF2  解译标志  塌陷坑
英文关键词:Remote sensing  GF2  Interpretation marks  Collapse pit
基金项目:中国地质调查局项目(项目编号:DD20190705)项目资助。
作者单位
李思发 贵州省地质调查院贵州贵阳550081 
李亮 贵州省地质调查院贵州贵阳550081 
安全 贵州省地质调查院贵州贵阳550081 
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中文摘要:
      基于GF2高分辨率遥感影像的数据特征和固体废弃物(尾矿库、废石堆)、矿山建筑、中转场、地下开采硐口、塌陷坑、矿山环境恢复治理等矿山遥感监测的主要地物目标特征,系统地建立了研究区主要矿山地物的遥感解译标志。通过对研究区的矿山路网和管网分析,确定研究区矿山总体分布情况,结合建立的矿山地物解译标志,对各区块内部图斑细化解译,形成了一套先整体后局部的矿山地物提取流程,通过研究区的实例表明,通过先整体后局部的解译流程,能快速、准确的完成矿山环境解译,具有一定的参照意义。
英文摘要:
      Based on the data characteristics of GF2 high-resolution remote sensing image and the main target characteristics of mine remote sensing monitoring such as solid waste (tailings pond nd waste rock heap),mine buildings,transfer yard,underground mining adit,collapse pit and mine environmental restoration,the remote sensing interpretation marks of main mine features in the study area are systematically establishedThrough the analysis of the mine road network and pipe network in the study area,the overall distribution of the mines in the study area is determinedCombined with the established mine feature interpretation signs,the internal map spots of each block are refined and interpreted,forming a set of mine feature extraction process from the whole to the localThe example of the study area shows that through the interpretation process from the whole to the local,it can quickly The accurate interpretation of mine environment has a certain reference significance
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