{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T07:06:14Z","timestamp":1774422374823,"version":"3.50.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2011,8,1]],"date-time":"2011-08-01T00:00:00Z","timestamp":1312156800000},"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":[[2011,8]]},"DOI":"10.1109\/tgrs.2011.2113186","type":"journal-article","created":{"date-parts":[[2011,3,29]],"date-time":"2011-03-29T21:03:25Z","timestamp":1301432605000},"page":"2936-2944","source":"Crossref","is-referenced-by-count":53,"title":["Segmentation of Hyperspectral Images via Subtractive Clustering and Cluster Validation Using One-Class Support Vector Machines"],"prefix":"10.1109","volume":"49","author":[{"given":"G.","family":"Bilgin","sequence":"first","affiliation":[]},{"given":"S.","family":"Erturk","sequence":"additional","affiliation":[]},{"given":"T.","family":"Yildirim","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2004.1370246"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2024624"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/AIPR.2002.1182272"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WARSD.2003.1295214"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1117\/12.500371","article-title":"<ref_formula><tex Notation=\"TeX\">$K$<\/tex><\/ref_formula>-means re-clustering: Algorithmic options with quantifiable performance comparisons","volume":"5001","author":"meyer","year":"2003","journal-title":"Proc SPIE"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.885412"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1117\/12.485942","article-title":"Feature extraction and band subset selection techniques based on relative entropy criteria for hyperspectral data analysis","volume":"5093","author":"arzuaga-cruz","year":"2003","journal-title":"Proc SPIE"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2007.908862"},{"key":"ref16","first-page":"763","article-title":"Detecting the number of clusters using a support vector machine approach","volume":"2415","author":"moguerza","year":"2002","journal-title":"Proc Int Conf Artif Neural Netw"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-45228-7_25"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2006.104"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/21.299710"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.88"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2006.880535"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2000.906177"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.1999.773549"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1117\/12.451537","article-title":"Segmentation of hyperspectral images based on histograms of principal components","volume":"4816","author":"silverman","year":"2002","journal-title":"Proc SPIE"},{"key":"ref29","author":"camastra","year":"0","journal-title":"Signal Theory Methods in Multispectral Remote Sensing"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1117\/12.453367","article-title":"An automated clustering\/segmentation of hyperspectral images based on histogram thresholding","volume":"4480","author":"silverman","year":"2002","journal-title":"Proc SPIE"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1117\/12.565567","article-title":"Robust automatic clustering of hyperspectral imagery using non-Gaussian mixtures","volume":"5573","author":"farrell","year":"2004","journal-title":"Proc SPIE"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2003.1295256"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2005.06.001"},{"key":"ref9","first-page":"3766","article-title":"Hyperspectral image segmentation with Markov chain model","volume":"6","author":"mercier","year":"2003","journal-title":"Proc IEEE Geosci Remote Sens Symp"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/0471723800"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"267","DOI":"10.3233\/IFS-1994-2306","article-title":"Fuzzy model identification based on cluster estimation","volume":"2","author":"chiu","year":"1994","journal-title":"J Intell Fuzzy Syst"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2006.875210"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2004.10.001"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(99)00087-2"},{"key":"ref23","author":"schlkopf","year":"2002","journal-title":"Learning with kernels"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"},{"key":"ref25","first-page":"582","volume":"12","author":"schlkopf","year":"2000","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\/5959279\/05740336.pdf?arnumber=5740336","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,10]],"date-time":"2021-10-10T23:53:10Z","timestamp":1633909990000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5740336\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,8]]},"references-count":31,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2011.2113186","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,8]]}}}