{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,13]],"date-time":"2026-07-13T19:25:12Z","timestamp":1783970712569,"version":"3.55.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"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":[[2021,7,11]]},"DOI":"10.1109\/igarss47720.2021.9553712","type":"proceedings-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T21:49:09Z","timestamp":1634161749000},"page":"2325-2328","source":"Crossref","is-referenced-by-count":34,"title":["Attention Based Semantic Segmentation on UAV Dataset for Natural Disaster Damage Assessment"],"prefix":"10.1109","author":[{"given":"Tashnim","family":"Chowdhury","sequence":"first","affiliation":[{"name":"University of Maryland Baltimore County Baltimore,Computer Vision and Remote Sensing Laboratory (Bina Lab),Department of Information Systems,Maryland,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maryam","family":"Rahnemoonfar","sequence":"additional","affiliation":[{"name":"University of Maryland Baltimore County Baltimore,Computer Vision and Remote Sensing Laboratory (Bina Lab),Department of Information Systems,Maryland,USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2018.8517946"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00326"},{"key":"ref12","first-page":"603","article-title":"Ccnet: Crisscross attention for semantic segmentation","author":"huang","year":"2019","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref14","article-title":"Enet: A deep neural network architecture for real-time semantic segmentation","author":"paszke","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref15","first-page":"801","article-title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","author":"chen","year":"2018","journal-title":"Proceedings of the European Conference on Computer Vision (ECCV)"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.660"},{"key":"ref4","article-title":"Comprehensive semantic segmentation on high resolution aerial imagery for natural disaster assessment","author":"rahnemoonfar","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9377916"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref5","article-title":"Floodnet: A high resolution aerial imagery dataset for post flood scene understanding","author":"rahnemoonfar","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.119"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref2","article-title":"Rescuenet: Joint building segmentation and damage assessment from satellite imagery","author":"gupta","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301702"},{"key":"ref9","article-title":"Msnet: A multilevel instance segmentation network for natural disaster damage assessment in aerial videos","author":"zhu","year":"2020","journal-title":"ArXiv Preprint"}],"event":{"name":"IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium","location":"Brussels, Belgium","start":{"date-parts":[[2021,7,11]]},"end":{"date-parts":[[2021,7,16]]}},"container-title":["2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9553015\/9553016\/09553712.pdf?arnumber=9553712","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T23:18:11Z","timestamp":1663888691000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9553712\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/igarss47720.2021.9553712","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]}}}