{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:35:24Z","timestamp":1774539324278,"version":"3.50.1"},"reference-count":88,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42071424"],"award-info":[{"award-number":["42071424"]}],"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":["42071324"],"award-info":[{"award-number":["42071324"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Youth Innovation Promotion Association Foundation"},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["2018476"],"award-info":[{"award-number":["2018476"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/jstars.2021.3063507","type":"journal-article","created":{"date-parts":[[2021,3,3]],"date-time":"2021-03-03T20:52:39Z","timestamp":1614804759000},"page":"3200-3214","source":"Crossref","is-referenced-by-count":47,"title":["GPU-Accelerated CatBoost-Forest for Hyperspectral Image Classification Via Parallelized mRMR Ensemble Subspace Feature Selection"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9091-6033","authenticated-orcid":false,"given":"Alim","family":"Samat","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5881-618X","authenticated-orcid":false,"given":"Erzhu","family":"Li","sequence":"additional","affiliation":[]},{"given":"Peijun","family":"Du","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1612-4844","authenticated-orcid":false,"given":"Sicong","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5586-6536","authenticated-orcid":false,"given":"Junshi","family":"Xia","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.3390\/rs11161953"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1080\/22797254.2019.1565418"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2017.2663666"},{"key":"ref76","first-page":"437","article-title":"A theory of multiclass boosting","volume":"14","author":"mukherjee","year":"2013","journal-title":"J Mach Learn Res"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1023\/A:1025667309714"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2010.2095495"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-006-6226-1"},{"key":"ref38","article-title":"Xgboost: Scalable GPU accelerated learning","author":"mitchell","year":"2018"},{"key":"ref78","first-page":"271","article-title":"Comparative study of attribute selection using gain ratio and correlation based feature selection","volume":"2","author":"karegowda","year":"2010","journal-title":"Int J Inf Technol Knowl Manage"},{"key":"ref79","first-page":"22","article-title":"Feature selection based on joint mutual information","author":"yang","year":"1999","journal-title":"Proc Int ICSC Symp Adv Intell Data Anal"},{"key":"ref33","article-title":"CatBoost: Gradient boosting with categorical features support","author":"dorogush","year":"2018"},{"key":"ref32","first-page":"550","article-title":"Machine learning with R and H2O","author":"aiello","year":"0","journal-title":"H2O booklet"},{"key":"ref31","first-page":"3146","article-title":"LightGBM: A highly efficient gradient boosting decision tree","author":"ke","year":"0","journal-title":"Proc Neural Inf Process Syst Conf"},{"key":"ref30","article-title":"Xgboost: Extreme gradient boosting,” R Package Version 0.4-2.","volume":"1","author":"chen","year":"2015"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1080\/07038992.2018.1559725"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.vlsi.2012.04.002"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2755639"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3038771"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2758819"},{"key":"ref62","first-page":"1","article-title":"Maximum relevance, minimum redundancy band selection for hyperspectral images","author":"kamandar","year":"2011","journal-title":"Proc 19th Iranian Conf Elect Eng"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2011.2169772"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1088\/0957-0233\/27\/12\/125501"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2892117"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6501\/ab816d"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2911855"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1002\/int.21833"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98878-8_18"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646301"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btt383"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9326-7"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.842478"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1002\/2016GB005546"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoser.2016.11.010"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"693","DOI":"10.1109\/36.911126","article-title":"Enhanced algorithm performance for land cover classification from remotely sensed data using bagging and boosting","volume":"39","author":"chan","year":"2001","journal-title":"IEEE Trans Geosci Remote Sens"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2013.2254108"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2008.02.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2014.11.007"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.5589\/m13-038"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs12121973"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2824354"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.11.003"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2875943"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.bbe.2019.11.004"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1186\/1687-6180-2012-213"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.advwatres.2009.01.009"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1186\/s12859-016-1423-9"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-11-325"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1142\/S0219720005001004"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1002\/int.21833"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2006.04.001"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2011.2162643"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/IPDPSW.2014.180"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/01431160701352154"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2301775"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2011.11.002"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2015.03.002"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2006.04.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3016820"},{"key":"ref81","article-title":"Machine learning based on attribute interactions","author":"jakulin","year":"2005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3020823"},{"key":"ref84","first-page":"1415","article-title":"Feature extraction by non-parametric mutual information maximization","volume":"3","author":"torkkola","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s41651-020-00048-5"},{"key":"ref83","article-title":"Generalized fisher score for feature selection","author":"gu","year":"2012"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.916201"},{"key":"ref80","first-page":"91","article-title":"On the use of variable complementarity for feature selection in cancer classification","author":"meyer","year":"2006","journal-title":"Applications of Evolutionary Computation"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2016.2641240"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/01431160600746456"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.01.011"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2017.2762307"},{"key":"ref85","first-page":"1531","article-title":"Fast binary feature selection with conditional mutual information","volume":"5","author":"fleuret","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2279179"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1007\/11744023_6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/36.312897"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2013.2265697"},{"key":"ref87","first-page":"671","article-title":"Trace ratio criterion for feature selection","volume":"2","author":"nie","year":"2008","journal-title":"AAAI"},{"key":"ref88","first-page":"6638","article-title":"CatBoost: Unbiased boosting with categorical features","author":"prokhorenkova","year":"0","journal-title":"Proc Neural Inf Process Syst Conf"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2006.03.004"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2279894"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2409195"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2315209"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2019.2911100"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.80.3.239"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/s120404764"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2037756"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.211"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9314330\/09368975.pdf?arnumber=9368975","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:56:16Z","timestamp":1639770976000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9368975\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":88,"URL":"https:\/\/doi.org\/10.1109\/jstars.2021.3063507","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}