乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,25]],"date-time":"2024-08-25T16:46:27Z","timestamp":1724604387805},"reference-count":28,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T00:00:00Z","timestamp":1519862400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Computational Science"],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1016\/j.jocs.2017.07.016","type":"journal-article","created":{"date-parts":[[2017,7,29]],"date-time":"2017-07-29T14:15:34Z","timestamp":1501337734000},"page":"252-259","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":59,"special_numbering":"C","title":["An approach for hyperspectral image classification by optimizing SVM using self organizing map"],"prefix":"10.1016","volume":"25","author":[{"given":"Deepak Kumar","family":"Jain","sequence":"first","affiliation":[]},{"given":"Surendra Bilouhan","family":"Dubey","sequence":"additional","affiliation":[]},{"given":"Rishin Kumar","family":"Choubey","sequence":"additional","affiliation":[]},{"given":"Amit","family":"Sinhal","sequence":"additional","affiliation":[]},{"given":"Siddharth Kumar","family":"Arjaria","sequence":"additional","affiliation":[]},{"given":"Amar","family":"Jain","sequence":"additional","affiliation":[]},{"given":"Haoxiang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.jocs.2017.07.016_bib0005","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"1995"},{"key":"10.1016\/j.jocs.2017.07.016_bib0010","doi-asserted-by":"crossref","first-page":"1191","DOI":"10.1016\/S0167-8655(99)00087-2","article-title":"Support vector domain description","volume":"20","author":"Tax","year":"1999","journal-title":"Pattern Recognit. Lett."},{"key":"10.1016\/j.jocs.2017.07.016_bib0015","series-title":"Statistical Learning Theory","author":"Vapnik","year":"1998"},{"key":"10.1016\/j.jocs.2017.07.016_bib0020","series-title":"The Nature of Statistical Learning Theory","author":"Vapnik","year":"1995"},{"key":"10.1016\/j.jocs.2017.07.016_bib0025","series-title":"Building Neural Networks","author":"Skapura","year":"1996"},{"key":"10.1016\/j.jocs.2017.07.016_bib0030","series-title":"Machine Learning","author":"Mitchell","year":"1997"},{"key":"10.1016\/j.jocs.2017.07.016_bib0035","series-title":"An Introduction to Support Vector Machines and Other Kernel-based Learning Methods","author":"Cristianini","year":"2000"},{"key":"10.1016\/j.jocs.2017.07.016_bib0040","volume":"vol. 2","author":"Burges","year":"1998"},{"key":"10.1016\/j.jocs.2017.07.016_bib0045","series-title":"Field-based Classification of Agricultural Crops Using Multiscale Images. Paper Presented at the 1 St International Conference on Geographic Object-based Image Analysis Held 4\u20135 July","author":"Ozdarici","year":"2006"},{"key":"10.1016\/j.jocs.2017.07.016_bib0050","doi-asserted-by":"crossref","first-page":"5655","DOI":"10.1080\/014311602331291215","article-title":"Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery","volume":"25","author":"Wang","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.jocs.2017.07.016_bib0055","doi-asserted-by":"crossref","first-page":"3687","DOI":"10.1080\/01431160310001654383","article-title":"Spatial variation in land cover and choice of spatial resolution for remote sensing","volume":"25","author":"Atkinson","year":"2004","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.jocs.2017.07.016_bib0060","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.rse.2007.02.014","article-title":"Application of high spatial resolution satellite imagery for riparian and forest ecosystem classification","volume":"110","author":"Johansen","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.jocs.2017.07.016_bib0065","doi-asserted-by":"crossref","first-page":"1822","DOI":"10.1109\/TGRS.2008.916201","article-title":"Kernel-based framework for multi-temporal and multi-source remote sensing data classification and change detection","volume":"46","author":"Camps-Valls","year":"2007","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.jocs.2017.07.016_bib0070","series-title":"Kernel Classifiers in Remote Sensing Tutorial. Academic Course Material Valencia : Department of Electronics Engineering","author":"Camps-Valls","year":"2008"},{"key":"10.1016\/j.jocs.2017.07.016_bib0075","series-title":"Multispectral Image Analysis Using the Object-Oriented Paradigm","author":"Navulur","year":"2007"},{"key":"10.1016\/j.jocs.2017.07.016_bib0080","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/j.jag.2005.06.005","article-title":"An automated object-based approach for the multiscale image segmentation of forest scenes","volume":"7","author":"Hay","year":"2005","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.jocs.2017.07.016_bib0085","series-title":"Introduction to Artificial Neural Networks System","author":"Zurada","year":"2003"},{"key":"10.1016\/j.jocs.2017.07.016_bib0090","series-title":"An Active Learning Framework for Hyperspectral Image Classification Using Hierarchical Segmentation IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","author":"Zhang","year":"2015"},{"issue":"No. 3","key":"10.1016\/j.jocs.2017.07.016_bib0095","article-title":"Fuzzy-Topology-Integrated support vector machine for remotely sensed image classification","volume":"50","author":"Zhang","year":"2012","journal-title":"IEEE Transac. Geosci. Remote Sens."},{"key":"10.1016\/j.jocs.2017.07.016_bib0100","series-title":"An Integrated SVM and Fuzzy AHP Approach for Selecting Third Party Logistics Providers, Electrotechnical Review (Electrical Review)","first-page":"0033","author":"Chen","year":"2017"},{"issue":"issue 2","key":"10.1016\/j.jocs.2017.07.016_bib0105","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.isprsjprs.2010.11.001","article-title":"Caesar Ogole Support vector machines in remote sensing","volume":"vol. 66","author":"Mountrakis","year":"2011","journal-title":"Rev. ISPRS J. Photogram. Remote Sens."},{"issue":"No. 11","key":"10.1016\/j.jocs.2017.07.016_bib0110","doi-asserted-by":"crossref","DOI":"10.4304\/jcp.4.11.1139-1144","article-title":"Shaomei yang integration of multi-layer SVM classifier and multistage dynamic fuzzy judgment and its application in SCDA measurement","volume":"4","author":"Liu","year":"2009","journal-title":"J. Comput."},{"key":"10.1016\/j.jocs.2017.07.016_bib0115","first-page":"338","article-title":"Remote sensing image classification development in the past decade","volume":"Vol.7494 74941D-1","author":"Yan","year":"2009","journal-title":"Proc. of SPIE"},{"key":"10.1016\/j.jocs.2017.07.016_bib0120","volume":"vol. XXXVII","author":"Ge","year":"2008"},{"issue":"No. 8","key":"10.1016\/j.jocs.2017.07.016_bib0125","article-title":"Lorenzo bruzzone classification of hyper spectral remote sensing images with support vector machines","volume":"42","author":"Melgani","year":"2004","journal-title":"IEEE Transac. Geosci. Remote Sens."},{"issue":"no. 2","key":"10.1016\/j.jocs.2017.07.016_bib0130","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1109\/72.991432","article-title":"Fuzzy support vector machines","volume":"13","author":"Lin","year":"2002","journal-title":"IEEE Transac. Neural Network"},{"issue":"issue 1","key":"10.1016\/j.jocs.2017.07.016_bib0135","first-page":"1","article-title":"Support vector learning mechanism for fuzzy rule-based modelling: a new approach","volume":"vol. 12","author":"Chiang","year":"2004","journal-title":"IEEE Transac. Fuzzy Syst."},{"issue":"no. 5\/6","key":"10.1016\/j.jocs.2017.07.016_bib0140","doi-asserted-by":"crossref","first-page":"785","DOI":"10.1016\/S0893-6080(03)00110-2","article-title":"Fuzzy least squares support vector machines for multiclass problems","volume":"16","author":"Tsujinishi","year":"2003","journal-title":"Neural Network."}],"container-title":["Journal of Computational Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877750317308530?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1877750317308530?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T23:28:53Z","timestamp":1606260533000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1877750317308530"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3]]},"references-count":28,"alternative-id":["S1877750317308530"],"URL":"https:\/\/doi.org\/10.1016\/j.jocs.2017.07.016","relation":{},"ISSN":["1877-7503"],"issn-type":[{"value":"1877-7503","type":"print"}],"subject":[],"published":{"date-parts":[[2018,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"An approach for hyperspectral image classification by optimizing SVM using self organizing map","name":"articletitle","label":"Article Title"},{"value":"Journal of Computational Science","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jocs.2017.07.016","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}