{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T08:15:46Z","timestamp":1769588146741,"version":"3.49.0"},"reference-count":58,"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":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42075130"],"award-info":[{"award-number":["42075130"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/jstars.2022.3181303","type":"journal-article","created":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T20:38:17Z","timestamp":1654893497000},"page":"4809-4823","source":"Crossref","is-referenced-by-count":37,"title":["LCDNet: Light-Weighted Cloud Detection Network for High-Resolution Remote Sensing Images"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7181-9935","authenticated-orcid":false,"given":"Kai","family":"Hu","sequence":"first","affiliation":[{"name":"Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4075-6446","authenticated-orcid":false,"given":"Dongsheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4681-9129","authenticated-orcid":false,"given":"Min","family":"Xia","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8687-1955","authenticated-orcid":false,"given":"Ming","family":"Qian","sequence":"additional","affiliation":[{"name":"State Key Laboratory LIESMARS, Wuhan University, Wuhan, China"}]},{"given":"Binyu","family":"Chen","sequence":"additional","affiliation":[{"name":"Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2021.104940"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1175\/BAMS-85-2-167"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1175\/1520-0426(1999)016<0656:SBAIEO>2.0.CO;2"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1080\/01431160210163065"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.12.013"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2021.2014077"},{"key":"ref7","first-page":"508","article-title":"Cloud detection for CHRIS\/PROBA hyperspectral images","volume":"5979","author":"Gmez-Chova","year":"2005","journal-title":"SPIE"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2006.709"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2018.1508917"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.15.046512"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs12020207"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.05.003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8898776"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2020.1849852"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3102970"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3105424"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3069641"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.13.026502"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2021.102597"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.16.016513"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2969552"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref26","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"Krizhevsky","year":"2012","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref27","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref29","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2022.107855"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2991398"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113669"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/S0034-4257(02)00034-2"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.021"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s41095-021-0229-5"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.06.031"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.01.026"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.03.026"},{"key":"ref40","article-title":"Automatic differentiation in pytorch","author":"Paszke","year":"2017"},{"key":"ref41","article-title":"ADAM: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00165"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.3390\/rs13183617"},{"key":"ref45","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref46","article-title":"TransuNet: Transformers make strong encoders for medical image segmentation","author":"Chen","year":"2021"},{"key":"ref47","article-title":"Extremec3Net: Extreme lightweight portrait segmentation networks using advanced c3-modules","author":"Park","year":"2019"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00941"},{"key":"ref49","article-title":"ENet: A deep neural network architecture for real-time semantic segmentation","author":"Paszke","year":"2016"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-021-01515-2"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_25"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2019.8803154"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.3042065"},{"key":"ref55","article-title":"DABNet: Depth-wise asymmetric bottleneck for real-time semantic segmentation","author":"Li","year":"2019"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00690"},{"key":"ref57","article-title":"Deep dual-resolution networks for real-time and accurate semantic segmentation of road scenes","author":"Hong","year":"2021"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00584"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9656571\/09793654.pdf?arnumber=9793654","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T03:01:56Z","timestamp":1706756516000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9793654\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/jstars.2022.3181303","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}