摘要
过去十余年遥感找矿被广泛应用,在开发矿产资源方面展现出很大的优势。将不同光谱分辨率和空间分辨率的遥感影像进行协同能提取更为精确的蚀变信息,对于遥感找矿有着重要的意义。利用Landast8数据(0.433~2.300μm)和WorldView-2数据(0.400~1.040μm)进行影像协同,生成新的协同数据(0.400~2.300μm)集成Landast8数据光谱波段范围较宽和WorldView-2数据分辨率较高的优势。分别利用3种数据,采用主成分分析法和光谱角匹配法对浙江漓渚地区进行铁染矿物蚀变信息的提取。研究结果表明:协同影像提取的蚀变信息相对于单一影像更为准确。
Remote sensing prospecting has been widely used in the past decade and has shown great advantages in the development of mineral resources.It is of great significance to extract more accurate alteration information from remote sensing images,which collaborate different spectral and spatial resolutions.In this paper,Landast8 data(0.433~2.300 m)and worldview-2 data(0.400~1.040 m)were used for image collaboration to generate new collaborative data(0.400~2.300 m),which integrated the advantages of wider spectral band range of Landast8 data and higher resolution of worldview-2 data.Principal component analysis method and spectral Angle matching method were used to extract the alteration information of iron dye minerals in lizhu area of zhejiang province.The result shows that the alteration information extracted from collaborative image is more accurate than that from single image.
作者
徐越
张震
朱骏
谢毅
王璇璇
XU Yue;ZHANG Zhen;ZHU Jun;XIE Yi;WANG Xuanxuan(School of Geomatics,Anhui University of Science and Technology,Huainan 232001,China;School of Geomatics,Zhejiang University of Water Resources and Electric Power,Hangzhou 310000,China)
出处
《黑龙江工程学院学报》
CAS
2020年第4期1-8,共8页
Journal of Heilongjiang Institute of Technology
基金
国家自然科学基金项目(41701087)。
