地质学报2025，Vol.99Issue(5)：1832-1847,16.DOI:10.19762/j.cnki.dizhixuebao.2023460
基于ASTER和SDGSAT-1热红外数据的新疆卡拉麦里蛇绿岩带岩性识别
Lithology identification of Karamaili ophiolite belt in Xinjiang based on ASTER and SDGSAT-1 thermal infrared data
摘要
Abstract
Thermal infrared spectrum(TIR,7～14 μm)has unparalleled advantages for the identification of rock-forming minerals,but currently there are few available satellite borne thermal infrared data sources,and the spatial and spectral resolution of the images is generally low.The thermal infrared spectrometer(TIS)carried by China's Sustainable Development Scientific Satellite-1(SDGSAT-1),which will be launched in 2021,is characterized by large bandwidth(300 km),high spatial resolution(30 m),and high detection sensitivity,and has a better application prospect in lithologic mapping.In this study,two kinds of thermal infrared images,ASTER and SDGSAT-1,were selected from the East Junggar Kalamari region of Xinjiang to establish rock indices of mafic-ultramafic rocks,quartz-rich rocks,feldspar-rich rocks,and granitoid rocks,and combined with the results of the principal component analysis to analyze the distribution characteristics of the different rock types in the 2D and 3D feature spaces,and constructed the lithology identification models of the two kinds of data in the multi-dimensional spectral feature space,respectively.The results show that:① The rock indices constructed from ASTER TIR and SDGSAT-1 TIS data can effectively identify mafic-ultramafic rocks,quartz-rich rocks,feldspar-rich rocks and granites,with an overall accuracy of 95.16％and 98.02％for lithology identification,respectively;② The multi-dimensional spectral feature space model constructed with two types of data also has good lithology recognition performance,with overall accuracy improved to 96.78％and 99.20％,respectively;③SDGSAT-1 TIS has improved the accuracy of extracting mafic-ultramafic rocks by 13.26％compared to ASTER TIR,and has stronger recognition ability for rocks with smaller outcrops.It has great potential for application in lithological mapping.关键词
ASTER TIR/SDGSAT-1 TIS/波谱特征空间/岩性识别模型/岩石指数Key words
ASTER TIR/SDGSAT-1 TIS/multi-dimensional spectrum feature space/lithology identification model/rock indices引用本文复制引用
张昭,张群佳,刘磊,梅佳成..基于ASTER和SDGSAT-1热红外数据的新疆卡拉麦里蛇绿岩带岩性识别[J].地质学报,2025,99(5):1832-1847,16.基金项目
本文为陕西省自然科学基础研究计划项目(编号2023-JC-ZD-18)和自然资源部黄河上游战略性矿产资源重点实验室开放课题项目(编号YSMRKF202203)联合资助的成果. （编号2023-JC-ZD-18）
