Deep Learning-Based Hyperspectral Data Analysis for Grade Prediction of 'Anshan-Style' Iron Ore in Low-Grade Open Pit Mines

Author:

Mao Xinqi,Ren Tao,Yin Yubin,Zeng Jiayi,Cao Wang,Ding Ruibo,Fan Shuo

Publisher

Elsevier BV

Reference42 articles.

1. Cutoff grade optimization in open pit mines using genetic algorithm;M R Ahmadi;Resources Policy,2018

2. Hyperspectral sensing of heavy metals in soil and vegetation: Feasibility and challenges;F Wang;ISPRS Journal of Photogrammetry and Remote Sensing,2018

3. Hyperspectral imagery reveals large spatial variations of heavy metal content in agricultural soil -A case study of remote-sensing inversion based on Orbita Hyperspectral Satellites (OHS) imagery;X Dai;Journal of Cleaner Production,2022

4. Hyperspectral inversion of heavy metal content in reclaimed soil from a mining wasteland based on different spectral transformation and modeling methods;S Zhang;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2019

5. A new three-band spectral and metal element index for estimating soil arsenic content around the mining area;P Fu;Process Safety and Environmental Protection,2022

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