{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T22:28:06Z","timestamp":1747261686469,"version":"3.28.0"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/igarss.2019.8900082","type":"proceedings-article","created":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T23:40:56Z","timestamp":1574725256000},"page":"5041-5044","source":"Crossref","is-referenced-by-count":3,"title":["Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network"],"prefix":"10.1109","author":[{"given":"Qinghui","family":"Liu","sequence":"first","affiliation":[]},{"given":"Michael","family":"Kampffmeyer","sequence":"additional","affiliation":[]},{"given":"Robert","family":"Jenssen","sequence":"additional","affiliation":[]},{"given":"Arnt-Borre","family":"Salberg","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","year":"2015","author":"ioffe","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"article-title":"The Lovász-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks","year":"2018","author":"matthew","key":"ref13"},{"key":"ref14","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"CoRR"},{"article-title":"On the convergence of Adam and beyond","year":"2018","author":"reddi","key":"ref15"},{"year":"2018","key":"ref16","article-title":"2D Semantic Labeling Contest"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8518533"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59129-2_17"},{"key":"ref4","article-title":"Fully convolutional networks for dense semantic labelling of high-resolution aerial imagery","author":"sherrah","year":"2016","journal-title":"CoRR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2015.7301381"},{"key":"ref6","article-title":"Classification with an edge: Improving semantic image segmentation with boundary detection","author":"marmanis","year":"2016","journal-title":"CoRR"},{"key":"ref5","first-page":"180","article-title":"Semantic segmentation of` earth observation data using multimodal and multi-scale deep networks","author":"audebert","year":"2016","journal-title":"Asian Conference on Computer Vision"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"446","DOI":"10.3390\/rs9050446","article-title":"Gated convolutional neural network for semantic segmentation in high-resolution images","volume":"9","author":"wang","year":"2017","journal-title":"Remote Sensing"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2016.90"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jtte.2016.05.005"},{"article-title":"Multi-scale context aggregation by dilated convolutions","year":"2015","author":"yu","key":"ref9"}],"event":{"name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","start":{"date-parts":[[2019,7,28]]},"location":"Yokohama, Japan","end":{"date-parts":[[2019,8,2]]}},"container-title":["IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8891871\/8897702\/08900082.pdf?arnumber=8900082","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:10:53Z","timestamp":1657854653000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8900082\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/igarss.2019.8900082","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}