{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T02:57:30Z","timestamp":1773802650146,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41774129"],"award-info":[{"award-number":["41774129"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41774131"],"award-info":[{"award-number":["41774131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Fund for Technological Innovation Guidance of Shaanxi Province","award":["2019CGHJ-20"],"award-info":[{"award-number":["2019CGHJ-20"]}]},{"name":"Xian University of Science and Technology Excellent Youth Science and Technology Fund","award":["2019YQ3-06"],"award-info":[{"award-number":["2019YQ3-06"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/tgrs.2020.2981687","type":"journal-article","created":{"date-parts":[[2020,3,31]],"date-time":"2020-03-31T20:42:45Z","timestamp":1585687365000},"page":"7269-7282","source":"Crossref","is-referenced-by-count":89,"title":["Facies Identification Based on Multikernel Relevance Vector Machine"],"prefix":"10.1109","volume":"58","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9193-1075","authenticated-orcid":false,"given":"Xingye","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0578-6009","authenticated-orcid":false,"given":"Xiaohong","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2556-5959","authenticated-orcid":false,"given":"Jingye","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5085-2522","authenticated-orcid":false,"given":"Xu","family":"Zhou","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9843-3995","authenticated-orcid":false,"given":"Yangkang","family":"Chen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2762597"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2729882"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2103381"},{"key":"ref32","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref31","first-page":"46","article-title":"Variational relevance vector machines","author":"bishop","year":"2000","journal-title":"Proc 16th Conf Uncertainty Artif Intell"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3997\/2214-4609.201900751"},{"key":"ref37","first-page":"265","article-title":"On the algorithmic implementation of multiclass kernel-based vector machines","volume":"2","author":"crammer","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jcim.5b00261"},{"key":"ref35","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4471-0847-4","author":"husmeier","year":"1999","journal-title":"Neural Networks for Conditional Probability Estimation Automatic Relevance Determination"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2215876"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1080\/10556789908805766"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2006.08.011"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1190\/tle35100906.1"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.jappgeo.2017.01.009"},{"key":"ref28","first-page":"1471","article-title":"Training and testing low-degree polynomial data mappings via linear SVM","volume":"11","author":"chang","year":"2010","journal-title":"J Mach Learn Res"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1190\/geo2017-0758.1"},{"key":"ref29","first-page":"4613","article-title":"Fast optimization method for parameter of SVM based on PSO and divided training","volume":"16","author":"zhang","year":"2008","journal-title":"Sci Technol Eng"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1190\/INT-2016-0025.1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3997\/2214-4609.201400779"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2860931"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2367010"},{"key":"ref24","first-page":"425","article-title":"Reservoir prediction via SVM pattern recognition","author":"li","year":"2005","journal-title":"75th Annual International Meeting SEG Expanded Abstracts"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018628609742"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1190\/geo2016-0615.1"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.859953"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2064787"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.04.002"},{"key":"ref59","doi-asserted-by":"crossref","first-page":"541","DOI":"10.1109\/TAC.2005.864181","article-title":"Numerical optimization: Theoretical and practical aspects","volume":"51","author":"bonnans","year":"2006","journal-title":"IEEE Trans Autom Control"},{"key":"ref58","article-title":"Optimizing kernel alignment over combinations of kernel","author":"kandola","year":"2002"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2049496"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2015.06.081"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.compstruc.2009.08.011"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggz273"},{"key":"ref53","article-title":"Ultra-fast optimization algorithm for sparse multi kernel learning","author":"orabona","year":"2011","journal-title":"Proc 28th Int Conf Mach Learn"},{"key":"ref52","author":"tanner","year":"1993","journal-title":"Tools for Statistical Inference Methods for the Exploration of Posterior Distributions and Likelihood Functions The EM Algorithm"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1785\/0220190028"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2890040"},{"key":"ref40","first-page":"508","article-title":"Multiple kernel MtLSSVM and its application in lung nodule recognition","volume":"44","author":"li","year":"2014","journal-title":"J Jilin Univ"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2953473"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2959238"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2926772"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1029\/2018EA000466"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1190\/geo2019-0213.1","article-title":"Self-training and learning the waveform features of microseismic data using an adaptive dictionary","volume":"85","author":"wang","year":"2020","journal-title":"Geophysics"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1190\/INT-2015-0044.1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1190\/segam2019-3216481.1"},{"key":"ref19","first-page":"1","article-title":"When petrophysics meets big data: What can machine do?","author":"xu","year":"2019","journal-title":"Proceedings of SPE Middle East Oil and Gas Show and Conference"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1190\/1.1487078"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggy344"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2852632"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggx420"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"131v","DOI":"10.1190\/geo2019-0319.1","article-title":"Iterative deblending for simultaneous source data using the deep neural network","volume":"85","author":"zu","year":"2019","journal-title":"Geophysics"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1093\/gji\/ggy348"},{"key":"ref49","first-page":"1","article-title":"Fast marginal likelihood maximisation for sparse Bayesian models","author":"tipping","year":"2003","journal-title":"Proc 9th Int Workshop Artif Intell Statist"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1190\/geo2018-0596.1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.8.1790"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1993.10476321"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102382"},{"key":"ref47","volume":"386","author":"denison","year":"2002","journal-title":"Bayesian Methods for Nonlinear Classification and Regression"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3997\/2214-4609.201800921"},{"key":"ref41","article-title":"Application of multi-kernel function method in reservoir lithology identification","author":"qin","year":"2017"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btn112"},{"key":"ref43","first-page":"383","article-title":"Analysis of sparse Bayesian learning","volume":"20","author":"faul","year":"2001","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9205700\/09051694.pdf?arnumber=9051694","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T14:11:19Z","timestamp":1651068679000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9051694\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":63,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2020.2981687","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10]]}}}