{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T14:54:50Z","timestamp":1784904890342,"version":"3.55.0"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,1]],"date-time":"2021-05-01T00:00:00Z","timestamp":1619827200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2019A1515011057"],"award-info":[{"award-number":["2019A1515011057"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61976234"],"award-info":[{"award-number":["61976234"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guangzhou Basic and Applied Basic Research Project"},{"DOI":"10.13039\/501100007046","name":"Open Research Fund of National Key Laboratory of Surveying, Mapping and Remote Sensing Information Engineering, Wuhan University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007046","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2021,5]]},"DOI":"10.1109\/tgrs.2020.3014312","type":"journal-article","created":{"date-parts":[[2020,8,19]],"date-time":"2020-08-19T19:59:16Z","timestamp":1597867156000},"page":"4287-4306","source":"Crossref","is-referenced-by-count":142,"title":["Scene-Driven Multitask Parallel Attention Network for Building Extraction in High-Resolution Remote Sensing Images"],"prefix":"10.1109","volume":"59","author":[{"given":"Haonan","family":"Guo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liangpei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongzhi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huaxiang","family":"Ding","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2864987"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.78.1.35"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.06.001"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2008440"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2011.2168195"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2912985"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2470547"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2006.874137"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.10.016022"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.06.005"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref62","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2017","journal-title":"arXiv 1709 01507"},{"key":"ref61","article-title":"The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks","author":"berman","year":"2017","journal-title":"arXiv 1705 08790"},{"key":"ref63","article-title":"Deep residual learning for image recognition","author":"he","year":"2015","journal-title":"arXiv 1512 03385"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2833293"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/rs8020157"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2761800"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2015.12.023"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2850972"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/rs10030407"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2947473"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2017.2745900"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2250978"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1155\/ASP.2005.2196"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.113"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2435801"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs10010144"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2858817"},{"key":"ref59","article-title":"Lookahead optimizer: K steps forward, 1 step back","author":"zhang","year":"2019","journal-title":"arXiv 1907 08610"},{"key":"ref58","article-title":"On the variance of the adaptive learning rate and beyond","author":"liu","year":"2019","journal-title":"arXiv 1908 03265"},{"key":"ref57","article-title":"PyTorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"arXiv 1912 01703"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127684"},{"key":"ref55","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"arXiv 1807 06521"},{"key":"ref54","article-title":"Dual attention network for scene segmentation","author":"fu","year":"2018","journal-title":"arXiv 1809 02983"},{"key":"ref53","doi-asserted-by":"crossref","first-page":"2380","DOI":"10.3390\/rs11202380","article-title":"DE-Net: Deep encoding network for building extraction from high-resolution remote sensing imagery","volume":"11","author":"liu","year":"2019","journal-title":"Remote Sens"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2954461"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1080\/01431160304987"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2669217"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2895362"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2382566"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.14358\/PERS.77.7.721"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XXXVIII-3-W22-143-2011"},{"key":"ref15","first-page":"83","article-title":"Building extraction from LIDAR data based on shape analysis of contours","volume":"44","author":"zhou","year":"2009","journal-title":"J Southwest Jiaotong Univ"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/rs12061050"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2013.11.001"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.04.015"},{"key":"ref19","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070830"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCG.2003.1242381"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/navi.38"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2013.2240692"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.02.019"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.05.002"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2866284"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2200689"},{"key":"ref46","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017","journal-title":"arXiv 1706 05587"},{"key":"ref45","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"chen","year":"2014","journal-title":"arXiv 1412 7062"},{"key":"ref48","article-title":"Pyramid scene parsing network","author":"zhao","year":"2016","journal-title":"arXiv 1612 01105"},{"key":"ref47","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"arXiv 1802 02611"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572683"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2930982"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref43","first-page":"234","article-title":"U-Net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/9410448\/09171479.pdf?arnumber=9171479","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:39Z","timestamp":1652194179000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9171479\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5]]},"references-count":63,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2020.3014312","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5]]}}}