北京测绘2024，Vol.38Issue(12)：1728-1733,6.DOI:10.19580/j.cnki.1007-3000.2024.12.014
基于PIE-SDK的尾矿库遥感监测系统设计与开发
Design and development of remote sensing monitoring system for tailings impoundment based on PIE-SDK
摘要
Abstract
The tailings impoundment is a huge potential source of danger,and it is particularly important to carry out monitoring and early warning of tailings impoundment.The development of an integrated and customized tailings impoundment monitoring system by using remote sensing and deep learning technologies can greatly improve monitoring efficiency.Based on the pixel information expert software development kit(PIE-SDK),this paper utilized C#and Python languages to design and develop a remote sensing monitoring system for tailings impoundment.The system employed deep learning technology to intelligently interpret remote sensing images of the tailings impoundment.With the Tongshankou Tailings Impoundment in Daye City as an example,the paper completed the entire process of tailings impoundment monitoring from remote sensing image processing to thematic mapping of the tailings impoundment.The results demonstrate that the system can provide technical support for tailings impoundment monitoring and early warning management,ecological civilization construction,and other aspects.关键词
尾矿库/遥感监测/深度学习/航天宏图二次开发组件包(PIE-SDK)/系统设计Key words
tailings impoundment/remote sensing monitoring/deep learning/pixel information expert software development kit(PIE-SDK)/system design分类
天文与地球科学引用本文复制引用
何金强,董俊杰,任若天,张文瀚,赵银娣..基于PIE-SDK的尾矿库遥感监测系统设计与开发[J].北京测绘,2024,38(12):1728-1733,6.基金项目
教育部产学合作协同育人项目(202101162009) （202101162009）
大学生创新创业训练计划(202210290051Z). （202210290051Z）
