{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T23:46:37Z","timestamp":1771458397523,"version":"3.50.1"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T00:00:00Z","timestamp":1620950400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,14]],"date-time":"2021-05-14T00:00:00Z","timestamp":1620950400000},"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":[[2021,5,14]]},"DOI":"10.1109\/eit51626.2021.9491910","type":"proceedings-article","created":{"date-parts":[[2021,7,26]],"date-time":"2021-07-26T21:21:10Z","timestamp":1627334470000},"page":"244-249","source":"Crossref","is-referenced-by-count":33,"title":["Deep Learning optimization in remote sensing image segmentation using dilated convolutions and ShuffleNet"],"prefix":"10.1109","author":[{"given":"Rahul","family":"Gomes","sequence":"first","affiliation":[{"name":"University of Wisconsin-Eau Claire,Dept. of Computer Science,Eau Claire,WI,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Papia","family":"Rozario","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Eau Claire,Dept. of Geography and Anthropology,Eau Claire,WI,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nishan","family":"Adhikari","sequence":"additional","affiliation":[{"name":"Minot State University,Department of Math and Computer Science,Minot,ND,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/s19245541"},{"key":"ref32","first-page":"6848","article-title":"Shufflenet: An extremely efficient convolutional neural network for mobile devices","author":"zhang","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref31","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref37","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2014"},{"key":"ref36","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"key":"ref35","article-title":"Rethinking atrous convolution for semantic image segmentation","author":"chen","year":"2017"},{"key":"ref34","first-page":"1251","article-title":"Xception: Deep learning with depthwise separable convolutions","author":"chollet","year":"2017","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1023\/B:NHAZ.0000037035.65105.95"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/EIT.2019.8833766"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/EIT.2018.8500111"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/0034-4257(80)90011-5"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/10106049.2013.768300"},{"key":"ref16","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref17","article-title":"Overfeat: Integrated recognition, localization and detection using convolutional networks","author":"sermanet","year":"2013"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00783"},{"key":"ref19","first-page":"358","article-title":"S3d-unet: separable 3d u-net for brain tumor segmentation","author":"chen","year":"2018","journal-title":"International MICCAI Brainlesion Workshop"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4236\/gep.2017.53013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2802944"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/rs8080684"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4236\/ijg.2017.84033"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4236\/jgis.2016.86053"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolmodel.2009.04.004"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/rs10091427"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5721\/EuJRS20154806"},{"key":"ref9","first-page":"61","article-title":"Land suitability analysis for different crops: a multi criteria decision making approach using remote sensing and gis","volume":"3","author":"mustafa","year":"2011","journal-title":"For Researchers"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/01431160500500342"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/EIT.2019.8833768"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12524-019-00945-3"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref24","article-title":"2d semantic labeling contest - potsdam","year":"2019"},{"key":"ref23","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v30i1.10007","article-title":"Must-cnn: a multilayer shift-and-stitch deep convolutional architecture for sequence-based protein structure prediction","author":"lin","year":"2016"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.01.013"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2685945"}],"event":{"name":"2021 IEEE International Conference on Electro Information Technology (EIT)","location":"Mt. Pleasant, MI, USA","start":{"date-parts":[[2021,5,14]]},"end":{"date-parts":[[2021,5,15]]}},"container-title":["2021 IEEE International Conference on Electro Information Technology (EIT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9491850\/9491831\/09491910.pdf?arnumber=9491910","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,5]],"date-time":"2023-01-05T10:26:45Z","timestamp":1672914405000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9491910\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,14]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/eit51626.2021.9491910","relation":{},"subject":[],"published":{"date-parts":[[2021,5,14]]}}}