世界地质    2020 39 (4): 929-936   ISSN: 1004-5589  CN: 22-1111/P   基于SAE-ELM方法的多金属遥感地球化学反演 王思琪1,2, 王明常1,3, 王凤艳1, 杨国东1, 张晓龙2 1. 吉林大学 地球探测科学与技术学院, 长春 130026; 2. 中国地质调查局 西安矿产资源调查中心, 西安 710100; 3. 自然资源部城市国土资源监测与仿真重点实验室, 广东 深圳 518000 收稿日期 2020-05-06  修回日期 2020-06-18  网络版发布日期 null 参考文献  [1] 陈三明,吴虹,谭泛,等.基于ASTER的遥感地球化学统计预测模型及应用:以金川铜镍矿床外围找矿为例[J].桂林理工大学学报,2010,30(4):480-489. CHEN San-ming,WU Hong,TAN Fan, et al. Statistics prediction model and application of remote geochemical sensing based on ASTER:Jinchuan copper-nickel ore deposit periphery prospecting[J].Journal of Guilin University of Technology,2010,30(4):480-489. [2] Aronoff S, Parliament H. From data to information:image processing for decision making[J].Geocarto International,1987,2(3):25-30. [3] Aronoff S, Goodfellow W D. Application of image analysis techniques in mineral exploration using regional geochemical data[J].Journal of Geochemical Exploration,1987,29(1/3):382. [4] Kokaly R F, Clark R N. Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression[J].Remote Sensing of Environment,1999,67(3):267-287. [5] 马伟波,谭琨,李海东,等.基于超限学习机的矿区土壤重金属高光谱反演[J].生态与农村环境学报,2016,32(2):213-218. MA Wei-bo, TAN Kun, LI Hai-dong, et al. Hyperspectral inversion of heavy metals in soil of a mining area using extreme learning machine[J].Journal of Ecology and Rural Environment,2016,32(2):213-218. [6] 陈三明,钱建平,陈宏毅.桂东南植被覆盖区的抗干扰遥感蚀变信息优化提取与找矿预测[J].桂林理工大学学报,2010,30(1):33-40. CHEN San-ming, QIAN Jian-ping, CHEN Hong-yi. Remote sensing alteration information optimization extraction in vegetation coverage area and prospects forecasting in Southeast Guangxi[J].Journal of Guilin University of Technology,2010,30(1):33-40. [7] 陈勇敢,刘桂阁,路彦明,等.遥感地球化学异常信息提取研究:以青海省白日其利沟地区为例[J].矿床地质,2010,29(增刊2):35-40. CHEN Yong-gan, LIU Gui-ge, LU Yan-ming, et al. Remote sensing geochemical anomaly information research:the Bairiqiligou area in Qinghai Province[J].Mineral Deposits, 2010,29(Suppl.2):35-40. [8] 姚佛军,杨建民,陈红旗,等.西藏多龙矿集区铜元素遥感地球化学模型[J].岩石矿物学杂志,2015,34(5):710-720. YAO Fo-jun,YANG Jian-min, CHEN Hong-qi, et al. A remote sensing Cu geochemical model for the Duolong ore concentration area,Tibet[J].Acta Petrologica et Mineralogica, 2015,34(5):710-720. [9] 赵海士.基于ETM+的遥感地球化学非线性反演模型研究:硕士学位论文[D].长春:吉林大学,2017. ZHAO Hai-shi. Research on a remote-sensing geochemistry nonlinear inversion model based on ETM+ data in Lalingzaohuo region:master's degree thesis[D].Changchun:Jilin University,2017. [10] 孙立影,杨晨,赵海士,等.基于极限学习机的遥感地球化学反演模型[J/OL].吉林大学学报(地球科学版):1-10[2020-04-21]. SUN Li-ying, YANG Chen, ZHAO Hai-shi, et al. Remote sensing geochemical inversion model based on extreme learning machine[J/OL].Journal of Jilin University (Earth Science Edition):1-10[2020-04-21]. [11] Chen L, Guan Q, Feng B, et al. A multi-convolutional autoencoder approach to multivariate geochemical anomaly recognition[J/OL].Minerals, 2019, 9(5):270. DOI:10.3390/min9050270. [12] Chen L, Guan Q, Xiong Y, et al. A spatially constrained multi-autoencoder approach for multivariate geochemical anomaly recognition[J/OL].Computers and Geosciences, 2019, 125:43-54.DOI:10.1016/j.cageo.2019.01.016. [13] Huang G B, Wang D H, Lan Y. Extreme learning machines:a survey[J]. International Journal of Machine Learning and Cybernetics, 2011, 2(2):107-122. [14] Huang G B, Zhu Q Y, Siew C K. Extreme learning machine:theory and applications[J]. Neurocomputing,2006,70(1/3):489-501. [15] Huang G B, Ding X, Zhou H. Optimization method based extreme learning machine for classification[J].Neurocomputing,2010,74(1/3):155-163. [16] Huang G B, Zhou H, Ding X, et al. Extreme learning machine for regression and multiclass classification[J]. IEEE Transactions on Systems, Man, and Cybernetics (Part B),2012,42(2):513-529. [17] 王明常,张馨月,张旭晴,等.基于极限学习机的GF-2影像发类[J].吉林大学学报(地球科学版),2018,48(2):373-378. WANG Ming-chang,ZHANG Xin-yue,ZHANG Xu-qing,et al.GF-2 image classification based on extreme learning machine[J]. Journal of Jilin University (Earth Science Edition),2018,48(2):373-378. [18] Rumelhart D E, Hinton G E, Williams R J. Learning representations by back-propagating errors[J]. Nature,1986,323:533-536. [19] 林雨.极限学习机与自动编码器的融合算法研究:硕士学位论文[D].长春:吉林大学,2016. LIN Yu. Research on fusion algorithm of extreme learning machine and auto-encoder:master's degree thesis[D].Changchun:Jilin University, 2016. [20] 刘晓敏.自动编码器的改进及其应用研究:硕士学位论文[D].广州:广东工业大学,2019. LIU Xiao-min. Improvement and application of auto encoders:master's degree thesis[D].Guangzhou:Guangdong University of Technology,2016. [21] 赵玉岩,李兵,郝立波,等.化探背景异常划分的多背景变差衬度法[J].物探化探计算技术,2018,40(2):235-240. ZHAO Yu-yan, LI Bing, HAO Li-bo, et al. Method of contrast of variation coefficient for geochemical anomaly division on multi-background area[J].Computing Techniques for Geophysical and Geochemical Exploration,2018,40(2):235-240. 通讯作者: 王明常(1975-),男,教授,博士生导师,主要从事遥感与地理信息系统方面的教学研究。E-mail:wangmc@jlu.edu.cn