{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T21:56:34Z","timestamp":1791323794845,"version":"4.3.1"},"reference-count":65,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2010,1]]},"DOI":"10.1109\/tgrs.2009.2026425","type":"journal-article","created":{"date-parts":[[2009,9,11]],"date-time":"2009-09-11T19:02:59Z","timestamp":1252695779000},"page":"207-220","source":"Crossref","is-referenced-by-count":104,"title":["Mean Map Kernel Methods for Semisupervised Cloud Classification"],"prefix":"10.1109","volume":"48","author":[{"given":"L.","family":"Gomez-Chova","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"G.","family":"Camps-Valls","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"L.","family":"Bruzzone","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"J.","family":"Calpe-Maravilla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/PGEC.1965.264137"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2006.120"},{"key":"ref33","first-page":"912","article-title":"semi-supervised learning using gaussian fields and harmonic functions","volume":"20","author":"zhu","year":"2003","journal-title":"Proc ICML"},{"key":"ref32","author":"seeger","year":"2000","journal-title":"Learning with labeled and unlabeled data"},{"key":"ref31","first-page":"585","article-title":"cluster kernels for semi-supervised learning","volume":"15","author":"chapelle","year":"2002","journal-title":"Proc NIPS"},{"key":"ref30","first-page":"19","article-title":"learning from labeled and unlabeled data using graph mincuts","author":"blum","year":"2001","journal-title":"Proc ICML"},{"key":"ref37","first-page":"819","article-title":"probability product kernels","volume":"5","author":"jebara","year":"2004","journal-title":"J Mach Learn Res"},{"key":"ref36","first-page":"361","article-title":"a kernel between sets of vectors","author":"kondor","year":"2003","journal-title":"Proc ICML"},{"key":"ref35","first-page":"179","article-title":"multi-instance kernels","author":"grtner","year":"2002","journal-title":"Proc 19th ICML"},{"key":"ref34","first-page":"801","volume":"20","author":"lafferty","year":"2008","journal-title":"Advances in neural information processing systems"},{"key":"ref60","first-page":"3126","article-title":"the surface pressure retrieval in the meris <ref_formula><tex notation=\"tex\">$\\hbox{o}_{2}$<\/tex><\/ref_formula> absorption: validation and potential improvements","volume":"5","author":"ramon","year":"2003","journal-title":"Proc IEEE IGARSS"},{"key":"ref62","year":"2006","journal-title":"MERIS Products Quality Status Report (MEGS7 4 and IPF 5)"},{"key":"ref61","first-page":"19 1","article-title":"limitations of the application of the meris atmospheric correction","author":"brockmann","year":"2006","journal-title":"Proc 2nd Working Meeting MERIS AATSR Calibration Geophys Validation MAVT"},{"key":"ref63","author":"congalton","year":"1999","journal-title":"Assessing the Accuracy of Remotely Sensed Data Principles and Practices"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2008.916070"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/18.556600"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.894550"},{"key":"ref65","article-title":"the value of labeled and unlabeled examples when the model is imperfect","volume":"20","author":"sinha","year":"2007","journal-title":"Proc NIPS"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000033120.25363.1e"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/36.981353"},{"key":"ref1","article-title":"improved cloud detection and cross-calibration of atsr, modis and meris data","author":"simpson","year":"1999","journal-title":"Proc ATSR Int Workshop Appl ERS Along Track Scanning Radiometer"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.846154"},{"key":"ref22","first-page":"1","article-title":"correcting sample selection bias by unlabeled data","volume":"19","author":"huang","year":"2006","journal-title":"Proc NIPS"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.916201"},{"key":"ref24","author":"zhu","year":"2005","journal-title":"Semi-supervised learning literature survey"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.895416"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.877950"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/36.975001"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.845141"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/0167-8655(94)00074-D"},{"key":"ref58","author":"chang","year":"2001","journal-title":"LIBSVM A library for support vector machines"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1979.4766909"},{"key":"ref56","first-page":"985","article-title":"covariate shift adaptation by importance weighted cross validation","volume":"8","author":"sugiyama","year":"2007","journal-title":"J Mach Learn Res"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2004.1325988"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.857031"},{"key":"ref53","first-page":"1","article-title":"a kernel method for the two-sample-problem","volume":"19","author":"gretton","year":"2006","journal-title":"Proc NIPS"},{"key":"ref52","first-page":"1","article-title":"a kernel approach to comparing distributions","author":"gretton","year":"2007","journal-title":"Proc 22nd Conf Artif Intell AAAI"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.905312"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/014311699212416"},{"key":"ref40","first-page":"821","article-title":"theoretical foundations of the potential function method in pattern recognition learning","volume":"25","author":"aizerman","year":"1964","journal-title":"Autom Remote Control"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2307\/1912352"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-3758(00)00115-4"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2007741"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2009.57"},{"key":"ref16","author":"quionero candela","year":"2009","journal-title":"Dataset Shift in Machine Learning"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"ref18","author":"schlkopf","year":"2002","journal-title":"Learning With KernelsSupport Vector Machines Regularization Optimization and Beyond"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2002.802455"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2003.815404"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2003.819874"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2005.11.005"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2002.803728"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/72.737500"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/36.312897"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2003.809930"},{"key":"ref46","first-page":"849","article-title":"on spectral clustering: analysis and an algorithm","volume":"14","author":"ng","year":"2001","journal-title":"Proc NIPS"},{"key":"ref45","first-page":"945","article-title":"partially labeled classification with markov random walks","volume":"14","author":"szummer","year":"2001","journal-title":"Proc NIPS"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2008.2010275"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti497"},{"key":"ref42","first-page":"2399","article-title":"manifold regularization: a geometric framework for learning from labeled and unlabeled examples","volume":"7","author":"belkin","year":"2006","journal-title":"J Mach Learn Res"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102455"},{"key":"ref44","first-page":"7109a-11","article-title":"image classification with semi-supervised support vector domain description","volume":"7109a","author":"muoz-mar","year":"2008","journal-title":"Proc SPIE Symp Remote Sensing"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2008.4779696"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/36\/5356246\/05235101.pdf?arnumber=5235101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T23:59:07Z","timestamp":1633910347000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5235101\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,1]]},"references-count":65,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2009.2026425","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,1]]}}}