Spectroscopy Letters ( IF 1.7 ) Pub Date : 2021-02-08 , DOI: 10.1080/00387010.2021.1877727 Dong Xiao 1 , Hongfei Xie 1 , Yanhua Fu 2 , Feifei Li 3
Abstract
In view of the many shortcomings of traditional copper ore detection methods, this paper proposes a new method for copper ore content detection, which is to detect copper ore content through spectral information. And we propose an error compensation extreme learning machine model. Using the error compensation extreme learning machine and the spectral information of the copper ore can quickly and accurately identify the copper content in the copper ore. Finally, the satellite remote sensing data were simulated, and the copper content distribution in the mining area was obtained. This provides guidance for future mining, reclamation and ore prospecting.
中文翻译:
基于遥感信息和误差补偿极限学习机的矿山复垦
摘要
鉴于传统铜矿石检测方法的诸多缺点,提出一种新的铜矿石含量检测方法,即通过光谱信息检测铜矿石含量。并且我们提出了一种误差补偿极限学习机模型。使用误差补偿极限学习机和铜矿石的光谱信息可以快速而准确地识别铜矿石中的铜含量。最后,对卫星遥感数据进行了模拟,得到了矿区铜含量的分布。这为将来的采矿,开垦和矿石勘探提供了指导。