{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,4]],"date-time":"2026-03-04T11:12:18Z","timestamp":1772622738630,"version":"3.50.1"},"reference-count":15,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2015]]},"DOI":"10.1587\/transinf.2014edl8246","type":"journal-article","created":{"date-parts":[[2015,6,30]],"date-time":"2015-06-30T22:12:18Z","timestamp":1435702338000},"page":"1401-1404","source":"Crossref","is-referenced-by-count":7,"title":["Learning Deep Dictionary for Hyperspectral Image Denoising"],"prefix":"10.1587","volume":"E98.D","author":[{"given":"Leigang","family":"HUO","sequence":"first","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences"},{"name":"School of Mathematics and Statistics, Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangchu","family":"FENG","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Xidian University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunlei","family":"HUO","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunhong","family":"PAN","sequence":"additional","affiliation":[{"name":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] G. Chen and S.-E. Qian, \u201cDenoising of hyperspectral imagery using principal component analysis and wavelet shrinkage,\u201d IEEE Trans. Geosci. Remote Sens., vol.49, no.3, pp.973-980, 2011.","DOI":"10.1109\/TGRS.2010.2075937"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] G. Chen, S.-E. Qian, and S. Gleason, \u201cDenoising of hyperspectral imagery by combining pca with block-matching 3-d filtering,\u201d Canadian J. Remote Sensing, vol.37, no.6, pp.590-595, 2012.","DOI":"10.5589\/m12-002"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, \u201cImage denoising by sparse 3-d transform-domain collaborative filtering,\u201d IEEE Trans. Image Process., vol.16, no.8, pp.2080-2095, 2007.","DOI":"10.1109\/TIP.2007.901238"},{"key":"4","unstructured":"[4] A. Lam, I. Sato, and Y. Sato, \u201cDenoising hyperspectral images using spectral domain statistics,\u201d ICPR, 2012."},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] D. Cerra, R. Muller, and P. Reinartz, \u201cNoise reduction in hyperspectral images through spectral unmixing,\u201d IEEE Geosci. Remote Sens. Lett., vol.11, no.1, pp.109-113, 2014.","DOI":"10.1109\/LGRS.2013.2247562"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] C. Ding, T. Li, and M.I. Jordan, \u201cConvex and semi-nonnegative matrix factorizations,\u201d IEEE Trans. Pattern Anal. Mach. Intell., vol.32, no.1, pp.45-55, 2010.","DOI":"10.1109\/TPAMI.2008.277"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] G. Camps-Valls, L. Gomez-Chov, J. Munoz-Mari, J. Vila-Frances, and J. Calpe-Maravilla, \u201cComposite kernels for hyperspectral image classification,\u201d IEEE Geosci. Remote Sens. Lett., vol.3, no.1, pp.93-97, 2006.","DOI":"10.1109\/LGRS.2005.857031"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] R. Clark, G. Swayze, and R. Wise, \u201cUsgs digital spectral library splib06a.\u201d Online, 2007.","DOI":"10.3133\/ds231"},{"key":"9","unstructured":"[9] \u201cRosis.\u201d http:\/\/www.ehu.es\/ccwintco\/index.php?title=Hyperspectral_Remote_Sensing_Scenes\\#Pavia_Centre_scene"},{"key":"10","unstructured":"[10] \u201cSoc710.\u201d http:\/\/surfaceoptics.com\/products\/hyperspectral-imaging\/ soc710-portable-hyperspectral-camera\/."},{"key":"11","unstructured":"[11] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, \u201cBm3d image denoising with shape-adaptive principal component analysis,\u201d SPARS, 2009."},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] H. Xu, C. Caramanis, and S. Mannor, \u201cOutlier-robust pca: the high-dimensional case,\u201d IEEE Trans. Inf. Theory, vol.59, no.1, pp.546-572, 2013.","DOI":"10.1109\/TIT.2012.2212415"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] M. Maggioni, V. Katkovnik, K. Egiazarian, and A. Foi, \u201cNonlocal transform domain filter for volumetric data denoising and reconstruction,\u201d IEEE Trans. Image Process., vol.22, no.1, pp.119-133, 2013.","DOI":"10.1109\/TIP.2012.2210725"},{"key":"14","unstructured":"[14] X. Kong, K. Li, Q. Yang, L. Wenyin, and M.-H. Yang, \u201cA new image quality metric for image auto-denoising,\u201d ICCV, pp.2888-2895, 2013."},{"key":"15","unstructured":"[15] R.H. Yuhas, J.W. Boardman, and A.F. Goetz, \u201cDetermination of semi-arid landscape endmembers and seasonal trends using convex geometry spectral unmixing techniques,\u201d Summaries of the 4th Annual JPL Airborne Geoscience Workshop, 1993."}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E98.D\/7\/E98.D_2014EDL8246\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,27]],"date-time":"2019-08-27T21:38:59Z","timestamp":1566941939000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E98.D\/7\/E98.D_2014EDL8246\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"references-count":15,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2015]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2014edl8246","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}