Field Hyperspectral Remote Sensing of Target Region in Xiemisitai Mountain, Xinjiang Province, China

International Symposium on Earth Observation for One Belt and One Road

地球科学;政治学;社会学;经济学

Wang, Q.J.^1,2 ; Wei, Y.M.^1 ; Chen, Y.^1,2 ; Ma, X.L.^3 ; Zhou, H.Y.^4

Key Laboratory of Earth Observation Hainan Province, Hainan

572029, China^1

Key Laboratory of Digital Earth, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing

100094, China^2

China University of Geosciences (Beijing), Beijing

100083, China^3

Research Institute of Petroleum Exploration and Development, PetroChina, Beijing

100083, China^4

关键词: Economic values;    Hyperspectral remote sensing;    Local economy;    Mineral absorption;    Mineral assemblage;    Mineral identification;    Spectral noise;    Target regions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/57/1/012020/pdf
DOI  :  10.1088/1755-1315/57/1/012020

来源: IOP

【 摘 要 】

A fine mineral identification model using the field Hyperspectral remote sensing was proposed to solve the problem of low mineral identification accuracy. Results show that the accuracy was improved by spectral noises removal, endmember optimization and mineral absorptions enhancement. A regional endmember library was established to improve the reliability by systematically considering of the mineral assemblage relationships. A fine mineral identification system (FMIS) was developed to help geologists to quickly identify minerals and it was applied in the Xiemisitai Mountain, Xinjiang province, China in 2014 to newly find copper mineralized points. The improved model and the FMIS system are therefore not only of great significance to improve efficiency and save cost in remote sensing mineral exploration, but also of great economic value of the local economy development in the future.