{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:08:02Z","timestamp":1753880882817,"version":"3.41.2"},"reference-count":32,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62206088"],"award-info":[{"award-number":["62206088"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61877021"],"award-info":[{"award-number":["61877021"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:p> Hyperspectral image (HSI) classification methods based on deep learning have demonstrated excellent performance, while these deep learning methods take a lot of time to train the parameters. In this paper, we propose a deep sparse representation (SR) network (DSRNet) without spending a lot of time training network parameters in the feature extraction stage. The contributions of this paper are three-fold. First, we introduce random dictionary into HSI classification, and solve sparse representation model under this dictionary. Second, we extend the shallow sparse representation model to the deep sparse representation model, where the SR model needs to be solved for each layer and used to extract the deep features of HSI. Finally, we investigate the classification performance of different classifiers on the deep features extracted by using DSRNet. Experimental results show that the proposed method can achieve better classification results compared with some closely related HSI classification methods and the other state-of-the-art deep learning methods. <\/jats:p>","DOI":"10.1142\/s0219691323500108","type":"journal-article","created":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T02:30:31Z","timestamp":1675650631000},"source":"Crossref","is-referenced-by-count":1,"title":["A Deep Sparse Representation with Random Dictionary for Hyperspectral Image Classification"],"prefix":"10.1142","volume":"21","author":[{"given":"Tian","family":"Xia","sequence":"first","affiliation":[{"name":"China Satellite Network System Co., Ltd., P. R. China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5956-903X","authenticated-orcid":false,"given":"Chunbo","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Mathematics and Physics, Hubei Polytechnic University, Huangshi, 435000, P. R. China"}]},{"given":"Wenjing","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Mathematics and Physics, Hubei Polytechnic University, Huangshi, 435000, P. R. China"}]}],"member":"219","published-online":{"date-parts":[[2023,3,6]]},"reference":[{"issue":"3","key":"S0219691323500108BIB001","doi-asserted-by":"crossref","first-page":"862","DOI":"10.1109\/TGRS.2008.2005729","volume":"47","author":"Bandos T. V.","year":"2009","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"8","key":"S0219691323500108BIB002","doi-asserted-by":"crossref","first-page":"4544","DOI":"10.1109\/TGRS.2016.2543748","volume":"54","author":"Chang C.-I.","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"1","key":"S0219691323500108BIB003","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1109\/TGRS.2012.2201730","volume":"51","author":"Chen Y.","year":"2013","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"10","key":"S0219691323500108BIB004","doi-asserted-by":"crossref","first-page":"3973","DOI":"10.1109\/TGRS.2011.2129595","volume":"49","author":"Chen Y.","year":"2011","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"6","key":"S0219691323500108BIB005","doi-asserted-by":"crossref","first-page":"2094","DOI":"10.1109\/JSTARS.2014.2329330","volume":"7","author":"Chen Y.","year":"2014","journal-title":"IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens."},{"key":"S0219691323500108BIB006","first-page":"1","volume":"60","author":"Cheng C.","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"5","key":"S0219691323500108BIB007","doi-asserted-by":"crossref","first-page":"2683","DOI":"10.1109\/TGRS.2014.2363582","volume":"53","author":"Cui M.","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"4","key":"S0219691323500108BIB008","doi-asserted-by":"crossref","first-page":"510","DOI":"10.1109\/5.488696","volume":"84","author":"Daubechies I.","year":"1996","journal-title":"Proc. IEEE"},{"issue":"12","key":"S0219691323500108BIB009","doi-asserted-by":"crossref","first-page":"10062","DOI":"10.1109\/TGRS.2020.3047130","volume":"59","author":"Du X.","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"8","key":"S0219691323500108BIB010","doi-asserted-by":"crossref","first-page":"1271","DOI":"10.3390\/rs10081271","volume":"10","author":"Gao F.","year":"2018","journal-title":"Remote. Sens."},{"issue":"9","key":"S0219691323500108BIB011","doi-asserted-by":"crossref","first-page":"714","DOI":"10.3390\/e20090714","volume":"20","author":"Guariglia E.","year":"2018","journal-title":"Entropy"},{"issue":"3","key":"S0219691323500108BIB012","doi-asserted-by":"crossref","first-page":"304","DOI":"10.3390\/e21030304","volume":"21","author":"Guariglia E.","year":"2019","journal-title":"Entropy"},{"key":"S0219691323500108BIB013","first-page":"5542054","volume":"2022","author":"Guariglia E.","year":"2022","journal-title":"J. Funct. Space"},{"key":"S0219691323500108BIB014","first-page":"337","volume-title":"Engineering Mathematics II, Springer Proceedings in Mathematics and Statistics","author":"Guariglia E.","year":"2017"},{"key":"S0219691323500108BIB015","first-page":"770","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"He K.","year":"2016"},{"issue":"7","key":"S0219691323500108BIB016","doi-asserted-by":"crossref","first-page":"5966","DOI":"10.1109\/TGRS.2020.3015157","volume":"59","author":"Hong D.","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"3","key":"S0219691323500108BIB017","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1109\/LGRS.2011.2172185","volume":"9","author":"Licciardi G.","year":"2012","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"5","key":"S0219691323500108BIB018","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.patrec.2016.01.022","volume":"83","author":"Ma L.","year":"2016","journal-title":"Pattern Recogn. Lett."},{"issue":"7","key":"S0219691323500108BIB019","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/34.192463","volume":"11","author":"Mallat S.","year":"1989","journal-title":"IEEE Trans. Pattern Anal. Machine Intell."},{"issue":"8","key":"S0219691323500108BIB020","doi-asserted-by":"crossref","first-page":"1778","DOI":"10.1109\/TGRS.2004.831865","volume":"42","author":"Melgani F.","year":"2004","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"2","key":"S0219691323500108BIB021","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1109\/LGRS.2019.2918719","volume":"17","author":"Roy S. K.","year":"2020","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"S0219691323500108BIB022","doi-asserted-by":"crossref","first-page":"4753","DOI":"10.1109\/JSTARS.2021.3075771","volume":"14","author":"Scharstein D.","year":"2021","journal-title":"IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens."},{"key":"S0219691323500108BIB023","first-page":"344","volume":"142","author":"Xu Y.","year":"2018","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"3","key":"S0219691323500108BIB024","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1109\/TBDATA.2019.2923243","volume":"6","author":"Xu Y.","year":"2020","journal-title":"IEEE Trans. Big Data"},{"key":"S0219691323500108BIB025","first-page":"5544019","volume":"60","author":"Xue Z.","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"S0219691323500108BIB026","first-page":"1","volume":"60","author":"Yang K.","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"2","key":"S0219691323500108BIB027","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1109\/TGRS.2016.2621058","volume":"55","author":"Ye Z.","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"S0219691323500108BIB028","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.patcog.2017.06.015","volume":"71","author":"Yin J.","year":"2017","journal-title":"Pattern Recogn."},{"key":"S0219691323500108BIB029","first-page":"1","volume":"60","author":"Yu C.","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"S0219691323500108BIB030","first-page":"1","volume":"19","author":"Yu C.","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"S0219691323500108BIB031","first-page":"5521315","volume":"60","author":"Zhang X.","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"7","key":"S0219691323500108BIB032","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1016\/j.ijmachtools.2009.02.003","volume":"49","author":"Zhu K.","year":"2009","journal-title":"Int. J. Mach. Tools Manuf."}],"container-title":["International Journal of Wavelets, Multiresolution and Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219691323500108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T09:51:30Z","timestamp":1691661090000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0219691323500108"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,6]]},"references-count":32,"journal-issue":{"issue":"05","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["10.1142\/S0219691323500108"],"URL":"https:\/\/doi.org\/10.1142\/s0219691323500108","relation":{},"ISSN":["0219-6913","1793-690X"],"issn-type":[{"type":"print","value":"0219-6913"},{"type":"electronic","value":"1793-690X"}],"subject":[],"published":{"date-parts":[[2023,3,6]]},"article-number":"2350010"}}