{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T11:54:36Z","timestamp":1769601276502,"version":"3.49.0"},"reference-count":35,"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":[{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA19030301"],"award-info":[{"award-number":["XDA19030301"]}]},{"DOI":"10.13039\/501100013290","name":"National Key Research and Development Program of China Stem Cell and Translational Research","doi-asserted-by":"publisher","award":["2017YFB0504203"],"award-info":[{"award-number":["2017YFB0504203"]}],"id":[{"id":"10.13039\/501100013290","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41601212"],"award-info":[{"award-number":["41601212"]}],"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":["41801360"],"award-info":[{"award-number":["41801360"]}],"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":["41771403"],"award-info":[{"award-number":["41771403"]}],"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":["41801358"],"award-info":[{"award-number":["41801358"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Foundation of Shenzhen Technology and Innovation Council","award":["KCXFZ202002011006298"],"award-info":[{"award-number":["KCXFZ202002011006298"]}]}],"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.2021.3050166","type":"journal-article","created":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T23:17:14Z","timestamp":1610234234000},"page":"2222-2235","source":"Crossref","is-referenced-by-count":35,"title":["Full Parameter Time Complexity (FPTC): A Method to Evaluate the Running Time of Machine Learning Classifiers for Land Use\/Land Cover Classification"],"prefix":"10.1109","volume":"14","author":[{"given":"Xiaorou","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Jianxin","family":"Jia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8911-0166","authenticated-orcid":false,"given":"Shanxin","family":"Guo","sequence":"additional","affiliation":[]},{"given":"Jinsong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Luyi","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Yingfei","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Wenna","family":"Xu","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/0034-4257(92)90011-8"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/01431169208904202"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(00)00169-3"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"964","DOI":"10.3390\/rs6020964","article-title":"Comparison of classification algorithms and training sample sizes in urban land classification with Landsat thematic mapper imagery","volume":"6","author":"li","year":"2014","journal-title":"Remote Sens"},{"key":"ref35","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2103381"},{"key":"ref11","article-title":"An improved N-FINDR algorithm in implementation","volume":"5806","author":"plaza","year":"0","journal-title":"Algorithms and Technologies for Multispectral Hyperspectral and Ultraspectral Imagery XI"},{"key":"ref12","article-title":"Beijing, China: Tsinghua Univ. Press","author":"yan","year":"0","journal-title":"Data Structure"},{"key":"ref13","volume":"2","author":"knuth","year":"1997","journal-title":"The Art of Computer Programming Seminumerical Algorithms"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref15","first-page":"944","article-title":"Ranking the risk factors for cesarean: Logistic regression analysis of a nationwide study","volume":"75","author":"mor-yosef","year":"1990","journal-title":"Obstet Gynecol"},{"key":"ref16","author":"breiman","year":"1984","journal-title":"Classification and Regression Trees"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref18","author":"vapnik","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref19","author":"batchelor","year":"1978","journal-title":"Pattern Recognition Ideas in Practice"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.11.026"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2016.02.028"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2012.01.001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.11.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2014.930206"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2017.02.003"},{"key":"ref5","first-page":"473","article-title":"Semantic segmentation of aerial images with an ensemble of CNNs","author":"marmanis","year":"0","journal-title":"Proc ISPRS Ann Photogrammetry Remote Sens Spatial Inf Sci"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2011.2173241"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.02.014"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.04.007"},{"key":"ref9","author":"cormen","year":"2009","journal-title":"Introduction to Algorithms"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2016.08.003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-007-0114-2"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10107-016-1030-6"},{"key":"ref21","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref23","first-page":"147","author":"guyon","year":"0","journal-title":"Automatic Capacity Tuning of Very Large VC-Dimension Classifiers"},{"key":"ref26","first-page":"1889","article-title":"Working set selection using second order information for training support vector machines","volume":"6","author":"fan","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref25","article-title":"Sequential minimal optimization: A fast algorithm for training support vector machines","author":"platt","year":"1998","journal-title":"Microsoft Research Tech Rep MST-TR-98-14"}],"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\/09317826.pdf?arnumber=9317826","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,27]],"date-time":"2022-01-27T12:09:31Z","timestamp":1643285371000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9317826\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/jstars.2021.3050166","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}