{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T12:08:53Z","timestamp":1769515733825,"version":"3.49.0"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100013058","name":"Key Research and Development Program of Jiangsu Province","doi-asserted-by":"publisher","award":["BE2019311"],"award-info":[{"award-number":["BE2019311"]}],"id":[{"id":"10.13039\/501100013058","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Modern Agricultural Industry Key Technology Innovation Project","award":["CX(20)2013"],"award-info":[{"award-number":["CX(20)2013"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020YFB160070301"],"award-info":[{"award-number":["2020YFB160070301"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3280158","type":"journal-article","created":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T13:43:02Z","timestamp":1685108582000},"page":"1-16","source":"Crossref","is-referenced-by-count":5,"title":["Semantic Representation Fusion-Based Network for Robust Land Cover Classification in Foggy Conditions"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4729-6035","authenticated-orcid":false,"given":"Weipeng","family":"Shi","sequence":"first","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7749-8842","authenticated-orcid":false,"given":"Wenhu","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5745-2444","authenticated-orcid":false,"given":"Zhonghua","family":"Yun","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yukun","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Intelligent Manufacturing, Nanjing Tech University, Nanjing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/info11020108"},{"key":"ref12","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"ronneberger","year":"2015","journal-title":"Proc 18th Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref34","year":"2023","journal-title":"ISPRS 2d semantic labeling contest"},{"key":"ref15","article-title":"RefineNet: Multi-path refinement networks for high-resolution semantic segmentation","author":"lin","year":"2016","journal-title":"arXiv 1611 06612"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01166"},{"key":"ref14","article-title":"Stacked hourglass networks for human pose estimation","author":"newell","year":"2016","journal-title":"arXiv 1603 06937"},{"key":"ref36","first-page":"9","article-title":"Understanding the effective receptive field in deep convolutional neural networks","author":"luo","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00246"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00225"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00388"},{"key":"ref33","article-title":"Mish: A self regularized non-monotonic activation function","author":"misra","year":"2020","journal-title":"arXiv 1908 08681"},{"key":"ref10","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref32","article-title":"Layer normalization","author":"ba","year":"2016","journal-title":"arXiv 1607 06450"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3146063"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3128072"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5244\/C.31.181"},{"key":"ref16","first-page":"833","article-title":"Encoder&#x2013;decoder with Atrous separable convolution for semantic image segmentation","volume":"11211","author":"chen","year":"2018","journal-title":"Proc Int Conf Comput Vis"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i10.7244"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00068"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01240-3_17"},{"key":"ref26","article-title":"Benchmarking neural network robustness to common corruptions and perturbations","author":"hendrycks","year":"2019","journal-title":"arXiv 1903 12261"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2002.1044678"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"ref22","first-page":"352","article-title":"A2-Nets: Double attention networks","author":"chen","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","article-title":"Segmentation transformer: Object-contextual representations for semantic segmentation","author":"yuan","year":"2019","journal-title":"arXiv 1909 11065"},{"key":"ref28","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00885"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00200"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2864342"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2363582"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3126428"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref5","article-title":"Deep high-resolution representation learning for visual recognition","author":"wang","year":"2019","journal-title":"arXiv 1908 07919"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10136767.pdf?arnumber=10136767","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T18:45:22Z","timestamp":1763491522000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10136767\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3280158","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}