首页|高分遥感影像在尾矿库风险辨识中的应用分析

高分遥感影像在尾矿库风险辨识中的应用分析

扫码查看
随着高分遥感卫星监测等技术的快速发展,可见光遥感卫星影像的分辨率也在进一步提高.为探究高分遥感影像在尾矿库风险辨识技术方面的应用,首先分析了尾矿库遥感影像特点,确立了U-Net和Deeplab V3+两种尾矿库风险辨识模型.通过对模型的试验分析,表明遥感卫星影像数据是可以实现尾矿库的风险辨识;DeeplabV3+模型更适于尾矿库水体风险辨识.高分遥感技术可实现远程监测库水位的变化,为政府或企业远程监测提供了技术支撑,以及时采取风险防范措施,保障尾矿库的安全生产运行.
Application Analysis of High-resolution Remote Sensing Image in Risk Identification of Tailings Reservoir
With the rapid development of high-resolution remote sensing satellite monitoring and oth-er technologies,the resolution of visible light remote sensing satellite images is also further improved.In or-der to explore the application of high-resolution remote sensing images in the risk identification technology of tailings reservoir,the characteristics of remote sensing images of tailings reservoir are analyzed firstly,and U-Net and Deeplab V3+risk identification models of tailings reservoir are established.Through the ex-perimental analysis of the model,it shows that the remote sensing satellite image data can realize the risk identification of the tailings reservoir.The Deeplab V3+model is more suitable for water risk identification of tailings reservoir.High-resolution remote sensing technology can realize remote monitoring of reservoir water level changes,provide technical support for government or enterprise remote monitoring,and take timely risk prevention measures to ensure the safe production and operation of tailings reservoirs.

remote sensing imagetailings reservoirrisk identification

付士根、褚衍玉、陈友良、胡文华

展开 >

中国安全生产科学研究院

中国矿业大学(北京)应急管理与安全工程学院

遥感影像 尾矿库 风险辨识

2024

现代矿业
中钢集团马鞍山矿山研究院有限公司

现代矿业

影响因子:0.33
ISSN:1674-6082
年,卷(期):2024.40(12)