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面向对象的离子吸附型稀土矿开采高分遥感影像识别方法

The Object-oriented Recognition Method for Remote Sensing Image with High Spatial Resolution for Iron Rare Earth Mining

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【作者】 李恒凯熊云飞吴立新

【Author】 LI Heng-kai;XIONG Yun-fei;WU Li-xin;Faculty of Architectural and Surveying Engineering,Jiangxi University of Science and Technology;Iop/Perception Mine Research Center,School of Environment Science and Spatial-informatics,China University of Mining & Technology;

【机构】 江西理工大学建筑与测绘工程学院中国矿业大学物联网(感知矿山)研究中心环境与测绘学院

【摘要】 从离子吸附型稀土矿开采过程中沉淀池状态及其空间分布关系入手,构建了面向对象的稀土开采高分遥感影像识别方法,并采用定南县岭北稀土矿区的Pleiades卫星遥感影像和寻乌县河岭稀土矿区航拍遥感影像对该方法进行检验。结果表明,卫星影像和航拍影像对于稀土矿点开采中的沉淀池识别精度分别达到94.17%和90.03%,具有较高准确度。该方法能够用于离子吸附型稀土矿区的开采过程监测,为矿区的非法稀土矿区非法开采快速、准确、动态监测提供了技术手段。

【Abstract】 As an important strategic resource of the country,rare earth has been widely used in various fields of national economy in present society. However,for its most mines were in remote hinterland with the high mountains and thick forests,it is difficult to monitor and manage. The high spatial resolution of remote sensing provides an effective method to resolve the problem. The paper constructed the object-oriented recognition method of the high spatial resolution image of remote sensing to supervise rare earth mining by doing with the relationship between the sedimentation tank state in the process of rare earth mining and the spatial distribution and tested the method by using the Pleiades satellite remote sensing image of Linbei rare earth mining area in Dingnan country and aerial remote sensing image of Heling rare earth mining area in Xunwu country. The results showed that the recognition accuracy of the sedimentation tank in satellite images and aerial images for rare earths mines mining could reach 94. 17% and 90. 03% respectively. The method provides a rapid,accurate and dynamic technical means for monitoring the illegal rare earth mining.

【基金】 国家自然科学基金(41561091);江西省自然科学基金(20161BAB206143);江西省教育厅科技课题(GJJ150659);江西省社会科学规划课题(14YJ20)
  • 【文献出处】 稀土 ,Chinese Rare Earths , 编辑部邮箱 ,2017年04期
  • 【分类号】TP751
  • 【被引频次】15
  • 【下载频次】238
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