{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T04:36:47Z","timestamp":1784522207776,"version":"3.55.0"},"reference-count":68,"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:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61801359"],"award-info":[{"award-number":["61801359"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61571345"],"award-info":[{"award-number":["61571345"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tgrs.2021.3120752","type":"journal-article","created":{"date-parts":[[2021,10,15]],"date-time":"2021-10-15T22:56:59Z","timestamp":1634338619000},"page":"1-17","source":"Crossref","is-referenced-by-count":33,"title":["Cloud Detection Method Using CNN Based on Cascaded Feature Attention and Channel Attention"],"prefix":"10.1109","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8495-2804","authenticated-orcid":false,"given":"Jing","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6325-8418","authenticated-orcid":false,"given":"Jun","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0408-7508","authenticated-orcid":false,"given":"Yuchen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0234-6270","authenticated-orcid":false,"given":"Yunsong","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2151\/jmsj.2004.761"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0442(1993)006<2341:CDUSMO>2.0.CO;2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.14358\/pers.72.10.1179"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2734912"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.10.028"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2014.06.012"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.07.002"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3043980"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.01.026"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2438015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08991-1_74"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2014.09.102"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022627411411"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1137\/0105003"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/571647.571648"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2676007"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1023\/b:visi.0000029664.99615.94"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.120"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.1989.567199"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0450(1994)033<0909:CCOAII>2.0.CO;2"},{"key":"ref21","first-page":"250","article-title":"Cloud classification for NOAA-AVHRR data by using a neural network","author":"Jianhua","year":"2002","journal-title":"Acta Meteorolog. Sinica"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2686488"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2994349"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3015272"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.03.039"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111446"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2955071"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2904868"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2991398"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3045474"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s41651-019-0037-y"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1177\/1729881420903532"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/rs12193261"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112483"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3105424"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref39","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"Chen","year":"2014","journal-title":"arXiv:1412.7062"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref41","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"Chen","year":"2017","journal-title":"arXiv:1706.05587"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1802.02611"},{"key":"ref43","article-title":"Multi-scale context aggregation by dilated convolutions","author":"Yu","year":"2015","journal-title":"arXiv:1511.07122"},{"key":"ref44","article-title":"WaveNet: A generative model for raw audio","author":"van den Oord","year":"2016","journal-title":"arXiv:1609.03499"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref47","article-title":"SSA-CNN: Semantic self-attention CNN for pedestrian detection","author":"Zhou","year":"2019","journal-title":"arXiv:1902.09080"},{"key":"ref48","article-title":"Attention-guided context feature pyramid network for object detection","author":"Cao","year":"2020","journal-title":"arXiv:2005.11475"},{"key":"ref49","article-title":"Pyramid attention network for semantic segmentation","author":"Li","year":"2018","journal-title":"arXiv:1805.10180"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.6832"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2962713"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3004934"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2006.877507"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2012.12.001"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2015.0738"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.683"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3390\/sym12061056"},{"key":"ref60","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref61","article-title":"An overview of gradient descent optimization algorithms","author":"Ruder","year":"2016","journal-title":"arXiv:1609.04747"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1179\/1743131X13Y.0000000063"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.168"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2020.112045"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.5194\/amt-8-4671-2015"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.02.017"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.05.022"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1995.tb02031.x"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9633014\/09576709.pdf?arnumber=9576709","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T22:57:17Z","timestamp":1705013837000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9576709\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":68,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2021.3120752","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}