{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T03:17:15Z","timestamp":1781061435145,"version":"3.54.1"},"reference-count":66,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFC1504403"],"award-info":[{"award-number":["2018YFC1504403"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Basic Research Program of China","doi-asserted-by":"publisher","award":["2018YFC1504503"],"award-info":[{"award-number":["2018YFC1504503"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41601390"],"award-info":[{"award-number":["41601390"]}],"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":["41907397"],"award-info":[{"award-number":["41907397"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010662","name":"China Earthquake Administration Special Project Surplus Fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010662","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Special Fund for the Study on Rapid Assessment of Multi-Source Earthquake Loss","award":["201308018-5"],"award-info":[{"award-number":["201308018-5"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3015701","type":"journal-article","created":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T20:42:42Z","timestamp":1597264962000},"page":"154997-155010","source":"Crossref","is-referenced-by-count":64,"title":["ARC-Net: An Efficient Network for Building Extraction From High-Resolution Aerial Images"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3041-3557","authenticated-orcid":false,"given":"Yaohui","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhua","family":"Qi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoli","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1102-7036","authenticated-orcid":false,"given":"Lutz","family":"Gross","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengguang","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li","family":"Ni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiwei","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2860989"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/rs11161897"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref31","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref30","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3390\/rs11070830"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1080\/01431161.2018.1528024"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/rs11060696"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2940527"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00163"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.156"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912822"},{"key":"ref63","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017","journal-title":"arXiv 1706 05587"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.3390\/rs11232803"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.3390\/rs11232813"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.3390\/rs10030407"},{"key":"ref29","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"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/19475705.2018.1524400"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1029\/JB089iB07p06329"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","author":"mnih","year":"2013","journal-title":"Machine Learning for Aerial Image Labeling"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref24","article-title":"Building and road detection from large aerial imagery","volume":"9405","author":"saito","year":"2015","journal-title":"Proc SPIE"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15567-3_16"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/2150704X.2017.1410291"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2352\/J.ImagingSci.Technol.2016.60.1.010402"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01219-9_25"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01261-8_20"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.5244\/C.28.88"},{"key":"ref58","first-page":"1269","article-title":"Exploiting linear structure within convolutional networks for efficient evaluation","author":"denton","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00200"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref54","article-title":"ENet: A deep neural network architecture for real-time semantic segmentation","author":"paszke","year":"2016","journal-title":"ArXiv 1606 02147"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2858817"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127684"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2015.2416255"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/rs10071135"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2007.05.011"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2009.2025059"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2012.2210189"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2400462"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref18","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2015","journal-title":"arXiv 1409 1556"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2948454"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-018-3425-6"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/rs11040403"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijdrr.2020.101577"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2001.990517"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.177"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00716"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.5589\/m02-004"},{"key":"ref46","first-page":"1","article-title":"Efficient dense modules of asymmetric convolution for real-time semantic segmentation","author":"lo","year":"2018","journal-title":"Proceedings of the ACM Multimedia Asia"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2750080"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref47","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"howard","year":"2017","journal-title":"arXiv 1704 04861"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/rs11010020"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.05.002"},{"key":"ref44","article-title":"Enet: A deep neural network architecture for real-time semantic segmentation","author":"paszke","year":"2016","journal-title":"ArXiv 1606 02147"},{"key":"ref43","first-page":"116","article-title":"Shufflenet V2: Practical guidelines for efficient cnn architecture design","author":"ma","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09165718.pdf?arnumber=9165718","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:55:06Z","timestamp":1639770906000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9165718\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":66,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3015701","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}