{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,18]],"date-time":"2026-04-18T17:13:50Z","timestamp":1776532430605,"version":"3.51.2"},"reference-count":61,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"9","license":[{"start":{"date-parts":[[2018,9,1]],"date-time":"2018-09-01T00:00:00Z","timestamp":1535760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA19030101"],"award-info":[{"award-number":["XDA19030101"]}]},{"name":"National Key R&amp;D Program of China","award":["2017YFE0100800"],"award-info":[{"award-number":["2017YFE0100800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["41601451"],"award-info":[{"award-number":["41601451"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2018,9]]},"DOI":"10.1109\/jstars.2018.2860989","type":"journal-article","created":{"date-parts":[[2018,8,8]],"date-time":"2018-08-08T18:39:43Z","timestamp":1533753583000},"page":"3252-3261","source":"Crossref","is-referenced-by-count":171,"title":["Semantic Segmentation for High Spatial Resolution Remote Sensing Images Based on Convolution Neural Network and Pyramid Pooling Module"],"prefix":"10.1109","volume":"11","author":[{"given":"Bo","family":"Yu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5262-8973","authenticated-orcid":false,"given":"Fang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref33","article-title":"Semantic understanding of scenes through the ade20k dataset","author":"zhou","year":"0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10578-9_23"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2017.2747599"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref36","first-page":"4278","article-title":"Inception-v4, inception-resnet and the impact of residual connections on learning","volume":"4","author":"szegedy","year":"2017","journal-title":"Proc Assoc Adv Artif Intell"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-009-0275-4"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2017.8081169"},{"key":"ref61","article-title":"Dual local-global contextual pathways for recognition in aerial imagery","author":"marcu","year":"0"},{"key":"ref28","first-page":"109","article-title":"Efficient inference in fully connected CRFs with Gaussian edge potentials","author":"krahenbuhl","year":"0","journal-title":"Proc 24th Int Conf Neural Inf Process Syst"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2018.2810320"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2002577"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2009.04.010"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.04.013"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2017.05.002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2014.2361756"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2645610"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-III-3-473-2016"},{"key":"ref50","article-title":"Rectified Linear Units Improve Restricted Boltzmann Machines","author":"nair","year":"0","journal-title":"Proc 27th Int Conf Mach Learn"},{"key":"ref51","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"0","journal-title":"Proc 14th Int Conf Artif Intell Statist"},{"key":"ref59","article-title":"Automatic semantic labelling of urban areas using a rule-based approach and realized with MeVisLab","author":"speldekamp","year":"2015"},{"key":"ref58","article-title":"Use of the stair vision library within the ISPRS 2D semantic labeling benchmark (Vaihingen)","author":"gerke","year":"2014"},{"key":"ref57","article-title":"ISPRS semantic labeling contest (2D): Results","author":"li","year":"2018","journal-title":"Int Soc Photogrammetry Remote Sens Working Group II\/4 Hannover Germany"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2616585"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.3390\/rs9050446"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1186\/s13640-015-0062-9"},{"key":"ref52","year":"0","journal-title":"2D Semantic labeling contest Int Soc Photogrammetry Remote Sens Working Group II\/4"},{"key":"ref10","first-page":"1742","article-title":"Semantic image segmentation with deep convolutional nets and fully connected CRFs","author":"chen","year":"0","journal-title":"Proc IEEE Int Conf Comput Vis (ICCV)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref12","article-title":"Fully convolutional networks for dense semantic labelling of high-resolution aerial imagery","author":"sherrah","year":"0"},{"key":"ref13","article-title":"A conditional random field word segmenter for sighan bakeoff","volume":"171","author":"tseng","year":"0","journal-title":"Proc 4th SIGHAN Workshop Chin Lang Process"},{"key":"ref14","article-title":"Slic superpixels","author":"achanta","year":"2010"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2009.06.004"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2062526"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2012.2190079"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127268"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.01.016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2491929"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2016.7477589"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.465"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-54181-5_14"},{"key":"ref49","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","author":"bishop","year":"1995","journal-title":"Neural Networks for Pattern Recognition"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref45","first-page":"11","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"loffe","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.235"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7299173"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-49430-8_2"},{"key":"ref43","first-page":"13","article-title":"The Loss Surfaces of Multilayer Networks","volume":"38","author":"choromanska","year":"0","journal-title":"Proc Int Conf Artif Intell Statist"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/8454925\/08429050.pdf?arnumber=8429050","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,9]],"date-time":"2024-07-09T01:38:16Z","timestamp":1720489096000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8429050\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9]]},"references-count":61,"journal-issue":{"issue":"9"},"URL":"https:\/\/doi.org\/10.1109\/jstars.2018.2860989","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9]]}}}