| Optimal bandwidth selection for retrieving Cu content in rock based on hyperspectral remote sensing |
| |
| 作者姓名： | MA Xiumei ZHOU Kefa WANG Jinlin CUI Shichao ZHOU Shuguang WANG Shanshan ZHANG Guanbin |
| |
| 作者单位： | State Key Laboratory of Desert and Oasis Ecology;Xinjiang Key Laboratory of Mineral Resources and Digital Geology;Xinjiang Research Centre for Mineral Resources;University of Chinese Academy of Sciences;Xinjiang Academy of Science and Technology for Development Strategy |
| |
| 基金项目： | supported by the Science and Technology Major Project of Xinjiang Uygur Autonomous Region,China(2021A03001-3);the Key Area Deployment Project of the Chinese Academy of Sciences(ZDRW-ZS-2020-4-30);the National Natural Science Foundation of China(U1803117). |
| |
| 摘 要： | Hyperspectral remote sensing technology is widely used to detect element contents because of its multiple bands,high resolution,and abundant information.Although researchers have paid considerable attention to selecting the optimal bandwidth for the hyperspectral inversion of metal element contents in rocks,the influence of bandwidth on the inversion accuracy are ignored.In this study,we collected 258 rock samples in and near the Kalatage polymetallic ore concentration area in the southwestern part of Hami City,Xinjiang Uygur Autonomous Region,China and measured the ground spectra of these samples.The original spectra were resampled with different bandwidths.A Partial Least Squares Regression(PLSR)model was used to invert Cu contents of rock samples and then the influence of different bandwidths on Cu content inversion accuracy was explored.According to the results,the PLSR model obtains the highest Cu content inversion accuracy at a bandwidth of 35 nm,with the model determination coefficient(R2)of 0.5907.The PLSR inversion accuracy is relatively unaffected by the bandwidth within 5-80 nm,but the accuracy decreases significantly at 85 nm bandwidth(R2=0.5473),and the accuracy gradually decreased at bandwidths beyond 85 nm.Hence,bandwidth has a certain impact on the inversion accuracy of Cu content in rocks using the PLSR model.This study provides an indicator argument and theoretical basis for the future design of hyperspectral sensors for rock geochemistry.
|
| 关 键 词： | hyperspectral remote sensing Cu element BANDWIDTH Partial Least Squares Regression inversion accuracy Kalatage polymetallic ore concentration area |
Optimal bandwidth selection for retrieving Cu content in rock based on hyperspectral remote sensing |
| |
| MA Xiumei,ZHOU Kefa,WANG Jinlin,CUI Shichao,ZHOU Shuguang,WANG Shanshan,ZHANG Guanbin.Optimal bandwidth selection for retrieving Cu content in rock based on hyperspectral remote sensing[J].Journal of Arid Land,2022,14(1):102-114. |
| |
| Authors: | MA Xiumei |
| |
| Institution: | ;1.State Key Laboratory of Desert and Oasis Ecology;2. Xinjiang Institute of Ecology and Geography;3. Chinese Academy of Sciences;4.Xinjiang Key Laboratory of Mineral Resources and Digital Geology |
| |
| Abstract: | Hyperspectral remote sensing technology is widely used to detect element contents because of its multiple bands, high resolution, and abundant information. Although researchers have paid considerable attention to selecting the optimal bandwidth for the hyperspectral inversion of metal element contents in rocks, the influence of bandwidth on the inversion accuracy are ignored. In this study, we collected 258 rock samples in and near the Kalatage polymetallic ore concentration area in the southwestern part of Hami City, Xinjiang Uygur Autonomous Region, China and measured the ground spectra of these samples. The original spectra were resampled with different bandwidths. A Partial Least Squares Regression(PLSR) model was used to invert Cu contents of rock samples and then the influence of different bandwidths on Cu content inversion accuracy was explored. According to the results, the PLSR model obtains the highest Cu content inversion accuracy at a bandwidth of 35 nm, with the model determination coefficient(R~2) of 0.5907. The PLSR inversion accuracy is relatively unaffected by the bandwidth within 5–80 nm, but the accuracy decreases significantly at 85 nm bandwidth(R~2=0.5473), and the accuracy gradually decreased at bandwidths beyond 85 nm. Hence, bandwidth has a certain impact on the inversion accuracy of Cu content in rocks using the PLSR model. This study provides an indicator argument and theoretical basis for the future design of hyperspectral sensors for rock geochemistry. |
| |
| Keywords: | hyperspectral remote sensing Cu element bandwidth Partial Least Squares Regression inversion accuracy Kalatage polymetallic ore concentration area |
| 本文献已被 维普 等数据库收录！ |
| 点击此处可从《干旱区科学》浏览原始摘要信息 |
| 点击此处可从《干旱区科学》下载免费的PDF全文 |
