{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T09:25:16Z","timestamp":1777713916289,"version":"3.51.4"},"reference-count":34,"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"},{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2010,1]]},"DOI":"10.1109\/tgrs.2009.2023983","type":"journal-article","created":{"date-parts":[[2009,8,21]],"date-time":"2009-08-21T12:21:33Z","timestamp":1250857293000},"page":"186-197","source":"Crossref","is-referenced-by-count":120,"title":["Gaussian Process Approach to Remote Sensing Image Classification"],"prefix":"10.1109","volume":"48","author":[{"given":"Yakoub","family":"Bazi","sequence":"first","affiliation":[{"name":"Coll. of Eng., Al-Jouf Univ., Al-Jouf, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farid","family":"Melgani","sequence":"additional","affiliation":[{"name":"Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","author":"rasmussen","year":"0","journal-title":"Gaussian Process Software"},{"key":"ref32","author":"chang","year":"0","journal-title":"LIBSVM?A Library for Support Vector Machines"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0745-0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.70.5.627"},{"key":"ref34","author":"lawrence","year":"0","journal-title":"IVM Software"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.898446"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.916089"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.916090"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2004708"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2007128"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/34.735807"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/72.883477"},{"key":"ref17","author":"minka","year":"2001","journal-title":"A Family of Algorithm for Approximate Bayesian Inference"},{"key":"ref18","first-page":"1679","article-title":"Assessing approximate inference for binary Gaussian process classification","volume":"6","author":"kuss","year":"2005","journal-title":"J Mach Learn Res"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"1948","DOI":"10.1109\/TPAMI.2006.238","article-title":"Bayesian Gaussian process classification with the EM-EP algorithm","volume":"28","author":"kim","year":"2006","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/36.934069"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.827257"},{"key":"ref27","year":"0","journal-title":"AVIRIS NW Indiana's Indian Pines 1992 data set"},{"key":"ref3","author":"vapnik","year":"1998","journal-title":"Statistical Learning Theory"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1002\/0471249688"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.827262"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.876704"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2005.859953"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511809682"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.880628"},{"key":"ref1","author":"duda","year":"2001","journal-title":"Pattern Classification"},{"key":"ref20","author":"rasmussen","year":"2006","journal-title":"gaussian process for machine learning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/089976698300017412"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2006.18.8.1790"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/11559887_4"},{"key":"ref23","first-page":"444","article-title":"sparse representation for gaussian process models","volume":"13","author":"csato","year":"2000","journal-title":"Proc NIPS"},{"key":"ref26","author":"seeger","year":"2003","journal-title":"Bayesian Gaussian process models PAC-Bayesian generalisation error bounds and sparse approximations"},{"key":"ref25","first-page":"1257","volume":"18","author":"snelson","year":"2006","journal-title":"Advances in neural information processing systems"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/36\/5356246\/05204216.pdf?arnumber=5204216","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,2]],"date-time":"2022-09-02T14:44:01Z","timestamp":1662129841000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/5204216\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,1]]},"references-count":34,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2009.2023983","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2010,1]]}}}