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以青海沟里地区为研究区,对区内资源一号02D (ZY1-02D)高光谱遥感影像进行预处理,充分分析了区内地质矿产资料,利用光谱角匹配技术提取典型蚀变矿物光谱样本数据,利用极端随机树算法开展矿化蚀变信息提取研究,并对提取效果进行评价。结果表明,提取的蚀变矿物信息分布位置与区内断裂构造展布特征以及已知矿床(点)的分布规律基本吻合,符合研究区成矿地质特征,说明结合光谱角匹配技术和极端随机树算法的蚀变矿物提取模型是一种高效的矿产勘查方法。
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李廷伟,张莽,赵文文,陈伟芳,蒋励剑.面向稀薄流非线性本构预测的机器学习方法[J].航空学报,2021(04).
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张楠楠,周可法,孙莉,马勇刚,赵同阳,徐仕琪.遥感蚀变地质特征提取研究——以新疆康古尔地区为例[J].新疆地质,2008(01).
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王彩艳.基于ZY-3影像的北京市六环以内城市用地信息提取及特征分析[D].山东农业大学,2015(06).
Heriot-Watt University School of Energy Geoscience Infrastructure and Society, Edinburgh, UK,Equinor, Oslo, Norway,Heriot-Watt University School of Energy Geoscience Infrastructure and Society, Edinburgh, UK,Heriot-Watt University School of Energy Geoscience Infrastructure and Society, Edinburgh, UK.Value of Geologically Derived Features in Machine Learning Facies Classification[J].Mathematical Geosciences,2020.
1HotSpot Therapeutics, 50 Milk Street, 16 Floor, Boston, MA02109, USA,2Research and Development Center, In-silicogen Inc., Yongin-si 16954, Gyeonggi-do, Republic of Korea,3Department of Biotechnology, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu641048, India,4Department of Physiology, Ajou University School of Medicine, Suwon, Republic of Korea.,1HotSpot Therapeutics, 50 Milk Street, 16 Floor, Boston, MA02109, USA,2Research and Development Center, In-silicogen Inc., Yongin-si 16954, Gyeonggi-do, Republic of Korea,3Department of Biotechnology, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu641048, India,4Department of Physiology, Ajou University School of Medicine, Suwon, Republic of Korea.,1HotSpot Therapeutics, 50 Milk Street, 16 Floor, Boston, MA02109, USA,2Research and Development Center, In-silicogen Inc., Yongin-si 16954, Gyeonggi-do, Republic of Korea,3Department of Biotechnology, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu641048, India,4Department of Physiology, Ajou University School of Medicine, Suwon, Republic of Korea..Extremely-randomized-tree-based Prediction of N6-Methyladenosine Sites in Saccharomyces cerevisiae .[J].Current genomics,2020.
Brian Barrett,Ingmar Nitze,Stuart Green,Fiona Cawkwell.Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches[J].Remote Sensing of Environment,2014.
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