{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T10:08:40Z","timestamp":1775470120583,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,8,19]],"date-time":"2016-08-19T00:00:00Z","timestamp":1471564800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 61231016, 61301192, 61301194 and 61571362"],"award-info":[{"award-number":["No. 61231016, 61301192, 61301194 and 61571362"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Fundamental Research Funds for the Central Universities","award":["No. 3102015JSJ0006"],"award-info":[{"award-number":["No. 3102015JSJ0006"]}]},{"name":"Innovation Foundation for Doctoral Dissertation of Northwestern Polytechnial University","award":["No. CX201521"],"award-info":[{"award-number":["No. CX201521"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,8,19]]},"DOI":"10.1145\/3007669.3007742","type":"proceedings-article","created":{"date-parts":[[2016,12,13]],"date-time":"2016-12-13T14:31:54Z","timestamp":1481639514000},"page":"127-131","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["A multi-label Hyperspectral image classification method with deep learning features"],"prefix":"10.1145","author":[{"given":"Cong","family":"Wang","sequence":"first","affiliation":[{"name":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanning","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Computer Science and technology, Northwestern Polytechnical University, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2016,8,19]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"issue":"2","key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2016\/3632943","article-title":"Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images","volume":"2016","author":"Xing C.","year":"2016","unstructured":"Xing C. , Ma L. , Yang X . Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images . Journal of Sensors , 2016 ( 2 ): 1 -- 10 , January 2016 . Xing C., Ma L., Yang X. Stacked Denoise Autoencoder Based Feature Extraction and Classification for Hyperspectral Images. Journal of Sensors, 2016(2):1--10, January 2016.","journal-title":"Journal of Sensors"},{"issue":"6","key":"e_1_3_2_1_3_1","first-page":"3371","article-title":"Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion","volume":"11","author":"Vincent P","year":"2010","unstructured":"Vincent P , Larochelle H , Lajoie I , Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion . Journal of Machine Learning Research , 11 ( 6 ): 3371 -- 3408 , March 2010 . Vincent P, Larochelle H, Lajoie I, et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. Journal of Machine Learning Research, 11(6):3371--3408, March 2010.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_4_1","volume-title":"Welling M. Auto-Encoding Variational Bayes. Conference proceedings: papers accepted to the International Conference on Learning Representations (ICLR 2014","author":"Kingma D.P.","year":"2013","unstructured":"Kingma D.P. , Welling M. Auto-Encoding Variational Bayes. Conference proceedings: papers accepted to the International Conference on Learning Representations (ICLR 2014 ). arXiv.org, 2013 . Kingma D.P., Welling M. Auto-Encoding Variational Bayes. Conference proceedings: papers accepted to the International Conference on Learning Representations (ICLR 2014). arXiv.org, 2013."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-011-5256-5"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2329330"},{"key":"e_1_3_2_1_7_1","volume-title":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","author":"Hemissi S","year":"2015","unstructured":"Hemissi S , Farah I R . Soft classification of hyperspectral images via multi-label learning . IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , 26-31 July 2015 , Milan, Italy , July 2015. Hemissi S, Farah I R. Soft classification of hyperspectral images via multi-label learning. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 26-31 July 2015, Milan, Italy, July 2015."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2006.12.019"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2520203"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/258619"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806306"},{"key":"e_1_3_2_1_12_1","volume-title":"Computer Science","author":"Wei Y.C.","year":"2014","unstructured":"Wei Y.C. , Xia W. , Huang J. , : Single-label to Multi-label . Computer Science , June 2014 . Wei Y.C., Xia W., Huang J., et al. CNN: Single-label to Multi-label. Computer Science, June 2014."},{"key":"e_1_3_2_1_13_1","volume-title":"CNN-RNN: A Unified Framework for Multi-label Image Classification. Computer Vision and Pattern Recognition,(CVPR","author":"Wang J.","year":"2016","unstructured":"Wang J. , Yang Y. , Mao J. , CNN-RNN: A Unified Framework for Multi-label Image Classification. Computer Vision and Pattern Recognition,(CVPR 2016 ), April 2016. Wang J., Yang Y., Mao J., et al. CNN-RNN: A Unified Framework for Multi-label Image Classification. Computer Vision and Pattern Recognition,(CVPR 2016), April 2016."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2388577"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.831865"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2010.2096798"},{"key":"e_1_3_2_1_17_1","volume-title":"Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features. Remote Sensing, 8(2)","author":"Liang H","year":"2016","unstructured":"Liang H , Li Q. Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features. Remote Sensing, 8(2) , 2016 . Liang H, Li Q. Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features. Remote Sensing, 8(2), 2016."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.12.032"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2014.02.013"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2013.42"},{"key":"e_1_3_2_1_21_1","first-page":"1794","volume-title":"Linear spatial pyramid matching using sparse coding for image classification","author":"Yang J.","year":"2009","unstructured":"Yang J. , Yu K. , Gong Y. , Linear spatial pyramid matching using sparse coding for image classification , pages 1794 -- 1801 , June 2009 . Yang J., Yu K., Gong Y., et al. Linear spatial pyramid matching using sparse coding for image classification, pages 1794--1801, June 2009."}],"event":{"name":"ICIMCS'16: International Conference on Internet Multimedia Computing and Service","location":"Xi'an China","acronym":"ICIMCS'16","sponsor":["Xidian University"]},"container-title":["Proceedings of the International Conference on Internet Multimedia Computing and Service"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3007669.3007742","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3007669.3007742","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T03:39:38Z","timestamp":1750217978000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3007669.3007742"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,19]]},"references-count":21,"alternative-id":["10.1145\/3007669.3007742","10.1145\/3007669"],"URL":"https:\/\/doi.org\/10.1145\/3007669.3007742","relation":{},"subject":[],"published":{"date-parts":[[2016,8,19]]},"assertion":[{"value":"2016-08-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}