{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T21:47:20Z","timestamp":1762033640387,"version":"3.37.3"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"9","license":[{"start":{"date-parts":[[2019,7,23]],"date-time":"2019-07-23T00:00:00Z","timestamp":1563840000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,23]],"date-time":"2019-07-23T00:00:00Z","timestamp":1563840000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1007\/s10916-019-1403-5","type":"journal-article","created":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T23:02:47Z","timestamp":1563836567000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Novel Algorithm for Hyperspectral Image Denoising in Medical Application"],"prefix":"10.1007","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6900-3854","authenticated-orcid":false,"given":"Kirubanandasarathy","family":"Nageswaran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karthikeyan","family":"Nagarajan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramasubramanian","family":"Bandiya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,7,23]]},"reference":[{"key":"1403_CR1","doi-asserted-by":"publisher","first-page":"1330","DOI":"10.3390\/rs10091330","volume":"10","author":"S Bourennane","year":"2018","unstructured":"Bourennane, S., Fossati, C., and Lin, T., Noise Removal Based on Tensor Modelling for Hyperspectral Image Classification. Remote Sens. 10:1330, 2018.","journal-title":"Remote Sens."},{"issue":"3","key":"1403_CR2","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1109\/JSTSP.2010.2104312","volume":"5","author":"ML Uss","year":"2011","unstructured":"Uss, M. L., Vozel, B., Lukin, V. V., and Chehdi, K., Local Signal-Dependent Noise Variance Estimation From Hyperspectral Textural Images. IEEE Journal of Selected Topics in Signal Processing 5(3):469\u2013486, 2011.","journal-title":"IEEE Journal of Selected Topics in Signal Processing"},{"key":"1403_CR3","doi-asserted-by":"crossref","unstructured":"Alparone, L., Selva, M., Aiazzi, B., Baronti, S., Butera, F., and Chiarantini, L., Signal-dependent noise modelling and estimation of new-generation imaging spectrometers. In 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, pp. 1\u20134, 2009.","DOI":"10.1109\/WHISPERS.2009.5289080"},{"issue":"10","key":"1403_CR4","doi-asserted-by":"publisher","first-page":"3717","DOI":"10.1109\/TGRS.2012.2187063","volume":"50","author":"X Liu","year":"2012","unstructured":"Liu, X., Bourennane, S., and Fossati, C., Denoising of Hyperspectral Images Using the PARAFAC Model and Statistical Performance Analysis. IEEE Trans. Geosci. Remote Sens. 50(10):3717\u20133724, 2012.","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1403_CR5","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.3390\/rs9111145","volume":"9","author":"L Gao","year":"2017","unstructured":"Gao, L., Yao, D., Li, Q., Zhuang, L., Zhang, B., and Bioucas-Dias, J. M., A New Low-Rank Representation based hyperspectral image denoising method for mineral mapping. Remote Sens. 9:1145, 2017.","journal-title":"Remote Sens."},{"key":"1403_CR6","doi-asserted-by":"publisher","first-page":"116","DOI":"10.3390\/rs10010116","volume":"10","author":"YR Fan","year":"2018","unstructured":"Fan, Y. R., Huang, T. Z., Zhao, X. L., Deng, L. J., and Fan, S., Multispectral Image Denoising via Nonlocal Multitask Sparse Learning. Remote Sens. 10:116, 2018.","journal-title":"Remote Sens."},{"key":"1403_CR7","unstructured":"Atkinson, I., Kamalabadi, F., Mohan, S., and Jones, D. L., Wavelet-based 2-D multichannel signal estimation. In Proceedings International Conference on Image Processing (Cat. No.03CH37429), Barcelona, pp. 14\u201317, 2003."},{"issue":"3","key":"1403_CR8","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1109\/TIP.2005.863698","volume":"15","author":"A Pizurica","year":"2006","unstructured":"Pizurica, A., and Philips, W., Estimating the probability of the presence of a signal of interest in multiresolution single- and multiband image denoising. IEEE Trans. Image Process. 15(3):654\u2013665, 2006.","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"1403_CR9","doi-asserted-by":"publisher","first-page":"2061","DOI":"10.1109\/TGRS.2008.916641","volume":"46","author":"D Letexier","year":"2008","unstructured":"Letexier, D., and Bourennane, S., Noise Removal From Hyperspectral Images by Multidimensional Filtering. IEEE Trans. Geosci. Remote Sens. 46(7):2061\u20132069, 2008.","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"8","key":"1403_CR10","doi-asserted-by":"publisher","first-page":"2407","DOI":"10.1109\/TGRS.2008.918419","volume":"46","author":"N Renard","year":"2008","unstructured":"Renard, N., and Bourennane, S., Improvement of Target Detection Methods by Multiway Filtering. IEEE Trans. Geosci. Remote Sens. 46(8):2407\u20132417, 2008.","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"1","key":"1403_CR11","first-page":"1","volume":"49","author":"B Aiazzi","year":"2006","unstructured":"Aiazzi, B., Alparone, L., Barducci, A., Baronti, S., Marcoinni, P., Pippi, I., and Selva, M., Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers. Ann. Geophys. 49(1):1\u20139, 2006.","journal-title":"Ann. Geophys."},{"issue":"1","key":"1403_CR12","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1109\/LGRS.2007.909927","volume":"5","author":"L Gao","year":"2008","unstructured":"Gao, L., Zhang, B., Zhang, X., Zhang, W., and Tong, Q., A New Operational Method for Estimating Noise in Hyperspectral Images. IEEE Geosci. Remote Sens. Lett. 5(1):83\u201387, 2008.","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"1403_CR13","unstructured":"Aiazzi, B., Alparone, L., and S. Baronti, A robust method for parameter estimation of signal-dependent noise models in digital images. Proceedings of 13th International Conference on Digital Signal Processing, Santorini, vol.2, pp. 601\u2013604, 1997."},{"issue":"11","key":"1403_CR14","doi-asserted-by":"publisher","first-page":"2531","DOI":"10.1109\/TGRS.2003.818813","volume":"41","author":"B Aiazzi","year":"2003","unstructured":"Aiazzi, B., Alparone, L., Baronti, S., and Garzelli, A., Coherence estimation from multilook incoherent SAR imagery. IEEE Trans. Geosci. Remote Sens. 41(11):2531\u20132539, 2003.","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"8","key":"1403_CR15","doi-asserted-by":"publisher","first-page":"2056","DOI":"10.1016\/j.sigpro.2005.10.014","volume":"86","author":"F Argenti","year":"2006","unstructured":"Argenti, F., Torricelli, G., and Alparone, L., MMSE filtering of generalised signal-dependent noise in spatial and shift-invariant wavelet domains. Signal Process. 86(8):2056\u20132066, 2006.","journal-title":"Signal Process."},{"issue":"11","key":"1403_CR16","doi-asserted-by":"publisher","first-page":"6712","DOI":"10.1109\/TGRS.2018.2841823","volume":"56","author":"G Cheng","year":"2018","unstructured":"Cheng, G., Li, Z., Han, J., Yao, X., and Guo, L., Exploring Hierarchical Convolutional Features for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote Sens. 56(11):6712\u20136722, 2018.","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"14","key":"1403_CR17","doi-asserted-by":"publisher","first-page":"2719","DOI":"10.1080\/01431169608949102","volume":"17","author":"RE Roger","year":"1996","unstructured":"Roger, R. E., Principal components transform with simple, automatic noise adjustment. Int. J. Remote Sens. 17(14):2719\u20132727, 1996.","journal-title":"Int. J. Remote Sens."},{"issue":"4","key":"1403_CR18","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/LGRS.2007.905116","volume":"4","author":"R Archibald","year":"2007","unstructured":"Archibald, R., and Fann, G., Feature Selection and Classification of Hyperspectral Images With Support Vector Machines. IEEE Geosci. Remote Sens. Lett. 4(4):674\u2013677, 2007.","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"7","key":"1403_CR19","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/34.192463","volume":"11","author":"SG Mallat","year":"1989","unstructured":"Mallat, S. G., A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 11(7):674\u2013693, 1989.","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"12","key":"1403_CR20","doi-asserted-by":"publisher","first-page":"2338","DOI":"10.1016\/j.sigpro.2004.11.029","volume":"85","author":"D Muti","year":"2005","unstructured":"Muti, D., and Bourennane, S., Multidimensional filtering based on a tensor approach. Signal Process. 85(12):2338\u20132353, 2005.","journal-title":"Signal Process."},{"issue":"6","key":"1403_CR21","doi-asserted-by":"publisher","first-page":"3529","DOI":"10.1109\/TGRS.2012.2225065","volume":"51","author":"T Lin","year":"2013","unstructured":"Lin, T., and Bourennane, S., Hyperspectral Image Processing by Jointly Filtering Wavelet Component Tensor. IEEE Trans. Geosci. Remote Sens. 51(6):3529\u20133541, 2013.","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"1403_CR22","doi-asserted-by":"crossref","unstructured":"Demirkesen, C., and U\u011fur, M. L., Estimation of noise model parameters for images taken by a full-frame hyperspectral camera. Image and Signal Processing for Remote Sensing XXI, 2015.","DOI":"10.1117\/12.2195057"},{"key":"1403_CR23","doi-asserted-by":"crossref","unstructured":"Bourennane, S., and Fossati, C., Dimensionality reduction and coloured noise removal from hyperspectral images. Remote Sensing Letters, 2015.","DOI":"10.1080\/2150704X.2015.1084548"},{"key":"1403_CR24","doi-asserted-by":"crossref","unstructured":"Bro, R., PARAFAC: Tutorial and applications. Chemom. Intell. Lab. Syst., 1997.","DOI":"10.1016\/S0169-7439(97)00032-4"}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-019-1403-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10916-019-1403-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-019-1403-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,21]],"date-time":"2020-07-21T23:26:56Z","timestamp":1595374016000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10916-019-1403-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,23]]},"references-count":24,"journal-issue":{"issue":"9","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["1403"],"URL":"https:\/\/doi.org\/10.1007\/s10916-019-1403-5","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"type":"print","value":"0148-5598"},{"type":"electronic","value":"1573-689X"}],"subject":[],"published":{"date-parts":[[2019,7,23]]},"assertion":[{"value":"3 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 June 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 July 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"291"}}