{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T02:26:45Z","timestamp":1780626405982,"version":"3.54.1"},"reference-count":55,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Alteia"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/jstars.2022.3166551","type":"journal-article","created":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T19:33:30Z","timestamp":1649792010000},"page":"3376-3389","source":"Crossref","is-referenced-by-count":55,"title":["DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing"],"prefix":"10.1109","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4697-8894","authenticated-orcid":false,"given":"Gaston","family":"Lenczner","sequence":"first","affiliation":[{"name":"Information Processing and Systems Department (DTIS), ONERA, Université Paris-Saclay, Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adrien","family":"Chan-Hon-Tong","sequence":"additional","affiliation":[{"name":"Information Processing and Systems Department (DTIS), ONERA, Université Paris-Saclay, Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7162-6746","authenticated-orcid":false,"given":"Bertrand","family":"Le Saux","sequence":"additional","affiliation":[{"name":"ESA\/ESRIN Φ-lab, Frascati, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicola","family":"Luminari","sequence":"additional","affiliation":[{"name":"Alteia, Toulouse, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guy","family":"Le Besnerais","sequence":"additional","affiliation":[{"name":"Information Processing and Systems Department (DTIS), ONERA, Université Paris-Saclay, Palaiseau, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2017.11.024"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451652"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00290"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2017.8127684"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.350"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-020-05943-y"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.11.011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/36.868886"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6696888"},{"key":"ref10","article-title":"Active learning literature survey","author":"Settles","year":"2009"},{"key":"ref11","first-page":"1183","article-title":"Deep Bayesian active learning with image data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gal","year":"2017"},{"key":"ref12","article-title":"Active learning for convolutional neural networks: A core-set approach","author":"Sener","year":"2018","journal-title":"Int. Conf. Learn. Represent."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref14","first-page":"655","article-title":"Principled detection of out-of-distribution examples in neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liang","year":"2018"},{"key":"ref15","first-page":"2902","article-title":"Addressing failure prediction by learning model confidence","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Corbire","year":"2019"},{"key":"ref16","article-title":"Interactive learning for semantic segmentation in Earth observation","volume-title":"Proc. Eur. Conf. Mach. Learn. Princ. Pract. Knowl. Discov. Databases Workshop","author":"Lenczner","year":"2020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/1014052.1016913"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.892007"},{"issue":"1","key":"ref19","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2012.2237013"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs11040433"},{"key":"ref22","article-title":"Deep active learning in remote sensing for data efficient change detection","volume-title":"Proc. Eur. Conf. Mach. Learn. Princ. Pract. Knowl. Discov. Databases Workshop","author":"Ruika","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2927393"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015720"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.47"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_34"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01189"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3063788"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2910667"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00187"},{"key":"ref31","first-page":"549","article-title":"Whats the point: Semantic segmentation with point supervision","volume-title":"Proc. Eur. Conf. Comput. Vis.","author":"Bearman","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3051053"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/34.58871"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015349"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2010.2072929"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CBMI.2018.8516511"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.2010404"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2009.5417857"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2609404"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref41","article-title":"A baseline for detecting misclassified and out-of-distribution examples in neural networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Hendrycks","year":"2017"},{"key":"ref42","first-page":"1321","article-title":"On calibration of modern neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Guo","year":"2017"},{"key":"ref43","first-page":"7167","article-title":"A simple unified framework for detecting out-of-distribution samples and adversarial attacks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"31","author":"Lee","year":"2018"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00976"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5555\/3045390.3045502"},{"key":"ref46","article-title":"Learning confidence for out-of-distribution detection in neural networks","author":"DeVries","year":"2018"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.3390\/rs12223836"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00018"},{"key":"ref49","first-page":"7034","article-title":"Confidence-aware learning for deep neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Moon","year":"2020"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2019.102809"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2018.11.011"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.5194\/isprsannals-i-3-293-2012"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/VCIP.2017.8305148"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.297"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15549-9_1"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9656571\/09756343.pdf?arnumber=9756343","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,22]],"date-time":"2024-01-22T21:10:25Z","timestamp":1705957825000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9756343\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/jstars.2022.3166551","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}