{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T18:12:17Z","timestamp":1775326337841,"version":"3.50.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871306"],"award-info":[{"award-number":["61871306"]}],"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":["61836009"],"award-info":[{"award-number":["61836009"]}],"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":["61772400"],"award-info":[{"award-number":["61772400"]}],"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":["61773304"],"award-info":[{"award-number":["61773304"]}],"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":["61703328"],"award-info":[{"award-number":["61703328"]}],"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":["61601397"],"award-info":[{"award-number":["61601397"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Basic Research Plan in Shaanxi Province of China","award":["2019JM-194"],"award-info":[{"award-number":["2019JM-194"]}]},{"name":"Joint Fund of the Equipment Research of Ministry of Education","award":["6141A020337"],"award-info":[{"award-number":["6141A020337"]}]},{"DOI":"10.13039\/501100019082","name":"Innovation Fund of Shanghai Aerospace Science and Technology","doi-asserted-by":"publisher","award":["SAST2019-093"],"award-info":[{"award-number":["SAST2019-093"]}],"id":[{"id":"10.13039\/501100019082","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Aeronautical Science Fund of China","award":["2019ZC081002"],"award-info":[{"award-number":["2019ZC081002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2021.3049372","type":"journal-article","created":{"date-parts":[[2021,2,20]],"date-time":"2021-02-20T11:18:26Z","timestamp":1613819906000},"page":"1-19","source":"Crossref","is-referenced-by-count":63,"title":["Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8032-7542","authenticated-orcid":false,"given":"Jie","family":"Feng","sequence":"first","affiliation":[]},{"given":"Di","family":"Li","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4035-9072","authenticated-orcid":false,"given":"Jing","family":"Gu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0997-4664","authenticated-orcid":false,"given":"Xianghai","family":"Cao","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9124-696X","authenticated-orcid":false,"given":"Ronghua","family":"Shang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0379-2042","authenticated-orcid":false,"given":"Xiangrong","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/0470124628"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2229082"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TC.1977.1674939"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2019.2899157"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2312539"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21307\/ijssis-2017-948"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2279591"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2005.159"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2005.844658"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/01431160701802471"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2004.830549"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2868796"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2014.2331674"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2987955"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.70.7.793"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1117\/1.OE.56.5.053101"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/36.803411"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.864389"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2016.7730606"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1126\/science.1242072"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2450759"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2013.2265697"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2443047"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.3390\/rs12152495"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.09.006"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900073"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2968179"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2755542"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898889"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2977454"},{"key":"ref31","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","volume-title":"arXiv:1308.3432","author":"Bengio","year":"2013"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2981475"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2765339"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2016.2595108"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3618-5_1"},{"key":"ref36","article-title":"Reinforcement learning for combinatorial optimization: A survey","volume-title":"arXiv:2003.03600","author":"Mazyavkina","year":"2020"},{"key":"ref37","first-page":"1385","article-title":"Optimization on a budget: A reinforcement learning approach","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ruvolo"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1561\/2200000071"},{"key":"ref39","article-title":"Playing Atari with deep reinforcement learning","volume-title":"arXiv:1312.5602","author":"Mnih","year":"2013"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/bf00992696"},{"key":"ref41","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Mnih"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00339"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/0098-3004(84)90020-7"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2951433"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref47","article-title":"Pruning convolutional neural networks for resource efficient inference","volume-title":"arXiv:1611.06440","author":"Molchanov","year":"2016"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2007.905116"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127795"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2616489"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09358199.pdf?arnumber=9358199","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,9]],"date-time":"2024-01-09T23:22:15Z","timestamp":1704842535000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9358199\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2021.3049372","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}