{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:14Z","timestamp":1750220834555,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T00:00:00Z","timestamp":1571702400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,22]]},"DOI":"10.1145\/3331453.3362049","type":"proceedings-article","created":{"date-parts":[[2019,10,21]],"date-time":"2019-10-21T13:34:22Z","timestamp":1571664862000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Open-Category Classification of Hyperspectral Images based on Convolutional Neural Networks"],"prefix":"10.1145","author":[{"given":"Tingting","family":"Huang","sequence":"first","affiliation":[{"name":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China and University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuang","family":"Wang","sequence":"additional","affiliation":[{"name":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Geng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueji","family":"Wang","sequence":"additional","affiliation":[{"name":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Song","family":"Liu","sequence":"additional","affiliation":[{"name":"Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an, China and University of Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,10,22]]},"reference":[{"key":"e_1_3_2_1_1_1","article-title":"Review of hyperspectral remote sensing image classification[J]","author":"Du P","year":"2016","unstructured":"Du P , Xia J , Xue Z , ( 2016 ). Review of hyperspectral remote sensing image classification[J] . Journal of Remote Sensing. Du P, Xia J, Xue Z, et al (2016). Review of hyperspectral remote sensing image classification[J]. Journal of Remote Sensing.","journal-title":"Journal of Remote Sensing."},{"key":"e_1_3_2_1_2_1","volume-title":"Hyperspectral Image Classification Based on the Combination of Spatial-spectral Feature and Sparse Representation[J]. Acta Geodaetica et Cartographica Sinica, 44(7)","author":"Zhaoxia Y","year":"2015","unstructured":"Zhaoxia Y , Zhengrong Z , Chao T , ( 2015 ). Hyperspectral Image Classification Based on the Combination of Spatial-spectral Feature and Sparse Representation[J]. Acta Geodaetica et Cartographica Sinica, 44(7) . Zhaoxia Y, Zhengrong Z, Chao T, et al (2015). Hyperspectral Image Classification Based on the Combination of Spatial-spectral Feature and Sparse Representation[J]. Acta Geodaetica et Cartographica Sinica, 44(7)."},{"key":"e_1_3_2_1_3_1","volume-title":"Hyperspectral Image Classification by Combination of Spatial-spectral Features and Ensemble Extreme Learning Machines[J]. Acta Geodaetica et Cartographica Sinica","author":"Yu G U","year":"2018","unstructured":"Yu G U , Ying X U , Baofeng G ( 2018 ). Hyperspectral Image Classification by Combination of Spatial-spectral Features and Ensemble Extreme Learning Machines[J]. Acta Geodaetica et Cartographica Sinica . Yu G U, Ying X U, Baofeng G (2018). Hyperspectral Image Classification by Combination of Spatial-spectral Features and Ensemble Extreme Learning Machines[J]. Acta Geodaetica et Cartographica Sinica."},{"key":"e_1_3_2_1_4_1","volume-title":"Deep 3D convolutional network combined with spatial-spectral features for hyperspectral image classification[J]. Acta Geodaetica et Cartographica Sinica","author":"Bing L","year":"2019","unstructured":"Bing L , Xuchu Y U , Pengqiang Z , ( 2019 ). Deep 3D convolutional network combined with spatial-spectral features for hyperspectral image classification[J]. Acta Geodaetica et Cartographica Sinica . Bing L, Xuchu Y U, Pengqiang Z, et al (2019). Deep 3D convolutional network combined with spatial-spectral features for hyperspectral image classification[J]. Acta Geodaetica et Cartographica Sinica."},{"key":"e_1_3_2_1_5_1","first-page":"1","article-title":"Deep Convolutional Neural Networks for Hyperspectral Image Classification[J]","volume":"2015","author":"Wei H","year":"2015","unstructured":"Wei H , Yangyu H , Li W , ( 2015 ). Deep Convolutional Neural Networks for Hyperspectral Image Classification[J] . Journal of Sensors , 2015 , 1 -- 12 . Wei H, Yangyu H, Li W, et al (2015). Deep Convolutional Neural Networks for Hyperspectral Image Classification[J]. Journal of Sensors, 2015, 1--12.","journal-title":"Journal of Sensors"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2616355"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/469"},{"key":"e_1_3_2_1_8_1","article-title":"Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework[J]","author":"Zhong Z","year":"2017","unstructured":"Zhong Z , Li J , Luo Z , ( 2017 ). Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework[J] . IEEE Transactions on Geoscience and Remote Sensing, 1--12. Zhong Z, Li J, Luo Z, et al (2017). Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework[J]. IEEE Transactions on Geoscience and Remote Sensing, 1--12.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing, 1--12."},{"key":"e_1_3_2_1_9_1","volume-title":"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift[J]","author":"Ioffe S","year":"2015","unstructured":"Ioffe S , Szegedy C ( 2015 ). Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift[J] . Ioffe S, Szegedy C (2015). Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift[J]."},{"key":"e_1_3_2_1_10_1","volume-title":"On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning[J]","author":"Gao B","year":"2017","unstructured":"Gao B , Pavel L ( 2017 ). On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning[J] . Gao B, Pavel L (2017). On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning[J]."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1021\/ja047109h"},{"key":"e_1_3_2_1_12_1","volume-title":"Learning rate schedules for faster stochastic gradient search[C]\/\/ Neural Networks for Signal Processing","author":"Darken C","year":"2002","unstructured":"Darken C ( 2002 ). Learning rate schedules for faster stochastic gradient search[C]\/\/ Neural Networks for Signal Processing . IEEE. Darken C (2002). Learning rate schedules for faster stochastic gradient search[C]\/\/ Neural Networks for Signal Processing. IEEE."},{"key":"e_1_3_2_1_13_1","volume-title":"A practical guide to support vector classification[J]","author":"Hsu C","year":"2010","unstructured":"Hsu C , Chang C , Lin C ( 2010 ). A practical guide to support vector classification[J] . National Taiwan University , 67(5). Hsu C, Chang C, Lin C (2010). A practical guide to support vector classification[J]. National Taiwan University, 67(5)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13040-017-0155-3"}],"event":{"name":"CSAE 2019: The 3rd International Conference on Computer Science and Application Engineering","acronym":"CSAE 2019","location":"Sanya China"},"container-title":["Proceedings of the 3rd International Conference on Computer Science and Application Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331453.3362049","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3331453.3362049","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:38Z","timestamp":1750202018000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331453.3362049"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10,22]]},"references-count":14,"alternative-id":["10.1145\/3331453.3362049","10.1145\/3331453"],"URL":"https:\/\/doi.org\/10.1145\/3331453.3362049","relation":{},"subject":[],"published":{"date-parts":[[2019,10,22]]},"assertion":[{"value":"2019-10-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}