{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:19:16Z","timestamp":1777702756272,"version":"3.51.4"},"reference-count":12,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2019,3,26]]},"DOI":"10.3233\/jifs-169918","type":"journal-article","created":{"date-parts":[[2019,1,18]],"date-time":"2019-01-18T10:48:37Z","timestamp":1547808517000},"page":"2067-2073","source":"Crossref","is-referenced-by-count":5,"title":["Effect of denoising on hyperspectral image classification using deep networks and kernel methods"],"prefix":"10.1177","volume":"36","author":[{"given":"Naveen Varghese","family":"Jacob","sequence":"first","affiliation":[{"name":"Center for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"V.","family":"Sowmya","sequence":"additional","affiliation":[{"name":"Center for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"K.P.","family":"Soman","sequence":"additional","affiliation":[{"name":"Center for Computational Engineering and Networking (CEN), Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-169918_ref1","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1007\/978-981-10-8354-9_28","volume-title":"Computational Signal Processing and Analysis","author":"Dixon","year":"2018"},{"issue":"10","key":"10.3233\/JIFS-169918_ref2","doi-asserted-by":"crossref","first-page":"3660","DOI":"10.1109\/TGRS.2012.2185054","article-title":"Hyperspectral image denoising employing a spec-tralspatial adaptive total variation model","volume":"50","author":"Yuan","year":"2012","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.3233\/JIFS-169918_ref3","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/978-981-10-3373-5_9","volume-title":"Progress in Intelligent Computing Techniques: Theory, Practice, and Applications","author":"Srivatsa","year":"2018"},{"key":"10.3233\/JIFS-169918_ref4","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1016\/j.procs.2017.09.098","article-title":"Least square denoising in spectral domain for hyperspectral images","volume":"115","author":"Chippy","year":"2017","journal-title":"Procedia Computer Science"},{"key":"10.3233\/JIFS-169918_ref5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2015\/258619","article-title":"Deep convolutional neural networks for hyperspectral image classification","volume":"2015","author":"Hu","year":"2015","journal-title":"Journal of Sensors"},{"issue":"24","key":"10.3233\/JIFS-169918_ref6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.17485\/ijst\/2015\/v8i24\/80843","article-title":"GURLS vs LIBSVM: Performance comparison of kernel methods for hyperspectral image classification","volume":"8","author":"Haridas","year":"2015","journal-title":"Indian Journal of Science and Technology"},{"key":"10.3233\/JIFS-169918_ref7","unstructured":"Selesnick I. , Least squares with examples in signal processing, Connexions (2013)."},{"issue":"1-4","key":"10.3233\/JIFS-169918_ref8","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/0167-2789(92)90242-F","article-title":"Nonlinear total variation based noise removal algorithms","volume":"60","author":"Rudin","year":"1992","journal-title":"Physica D: Nonlinear Phenomena"},{"issue":"27","key":"10.3233\/JIFS-169918_ref9","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1961189.1961199","article-title":"LIBSVM: A library for support vector machines","volume":"2","author":"Chang","year":"2011","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"issue":"1","key":"10.3233\/JIFS-169918_ref10","first-page":"3201","article-title":"GURLS: A least squares library for supervised learning","volume":"14","author":"Tacchetti","year":"2013","journal-title":"The Journal of Machine Learning Research"},{"key":"10.3233\/JIFS-169918_ref11","first-page":"34","article-title":"An effective pre-processing algorithm for detecting noisy spectral bands in hyperspectral imagery","author":"Bhushan","year":"2011","journal-title":"IEEE International Symposium on Ocean Electronics"},{"key":"10.3233\/JIFS-169918_ref12","first-page":"265","article-title":"Tensorow: A system for large-scale machine learning","volume":"16","author":"Abadi","year":"2016","journal-title":"OSDI"}],"container-title":["Journal of Intelligent & Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-169918","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:36:50Z","timestamp":1777455410000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-169918"}},"subtitle":[],"editor":[{"given":"Sabu M.","family":"Thampi","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"El-Sayed M.","family":"El-Alfy","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2019,3,26]]},"references-count":12,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jifs-169918","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,26]]}}}