{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T14:23:36Z","timestamp":1775744616144,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["22ZR1423200"],"award-info":[{"award-number":["22ZR1423200"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Key Laboratory of National Geographic Census and Monitoring"},{"name":"Ministry of Natural Resources, Wuhan University","award":["2022NGCM12"],"award-info":[{"award-number":["2022NGCM12"]}]},{"name":"Shanghai Foundation for Development of Science and Technology","award":["21142202400"],"award-info":[{"award-number":["21142202400"]}]},{"name":"Key Laboratory for Digital Land and Resources of Jiangxi Province"},{"DOI":"10.13039\/501100011205","name":"East China Institute of Technology","doi-asserted-by":"publisher","award":["DLLJ202103"],"award-info":[{"award-number":["DLLJ202103"]}],"id":[{"id":"10.13039\/501100011205","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/jstars.2023.3340413","type":"journal-article","created":{"date-parts":[[2023,12,11]],"date-time":"2023-12-11T20:01:32Z","timestamp":1702324892000},"page":"2098-2114","source":"Crossref","is-referenced-by-count":20,"title":["A Novel Deep Multi-Instance Convolutional Neural Network for Disaster Classification From High-Resolution Remote Sensing Images"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9633-4475","authenticated-orcid":false,"given":"Chengfan","family":"Li","sequence":"first","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5250-8672","authenticated-orcid":false,"given":"Zixuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7525-5759","authenticated-orcid":false,"given":"Lan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2396-9514","authenticated-orcid":false,"given":"Jung Yoon","family":"Kim","sequence":"additional","affiliation":[{"name":"College of Future Industry, Gachon University, Seongnam-Si, Gyeonggi-do, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0229-2460","authenticated-orcid":false,"given":"Arun Kumar","family":"Sangaiah","sequence":"additional","affiliation":[{"name":"International Graduate School of Artificial Intelligence, National Yunlin University of Science and Technology, Douliu, Taiwan"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3185420"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rsase.2022.100789"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/ijerph19063701"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3218958"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/rs13183617"},{"issue":"6","key":"ref6","first-page":"698","article-title":"Deep metric learning method for high resolution sensing image scene classification","volume":"48","author":"Ye","year":"2019","journal-title":"Acta Geodaetica et Cartographica Sinica"},{"issue":"5","key":"ref7","first-page":"578","article-title":"The theory and calculation of spatial-spectral cognition of remote sensing","volume":"18","author":"Luo","year":"2016","journal-title":"J. Geo-Inf. Sci."},{"issue":"3","key":"ref8","first-page":"18","article-title":"Research on information extraction and target recognition from high resolution remote sensing image","volume":"30","author":"Ming","year":"2005","journal-title":"Sci. Surv. Mapping"},{"issue":"2","key":"ref9","first-page":"322","article-title":"Semantic segmentation of natural disaster remote sensing image based on deep learning","volume":"32","author":"Wang","year":"2023","journal-title":"Comput. Syst. Appl."},{"key":"ref10","first-page":"124","article-title":"Building scene recognition based on convolutional neural network using high resolution remote sensing image","volume":"s1","author":"Liu","year":"2021","journal-title":"Bull. Surv. Mapping"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11600-017-0013-1"},{"issue":"7","key":"ref12","first-page":"980","article-title":"Monitoring dynamics of Hailuogou glacier and the secondary landslide disasters based on combination of satellite SAR and ground-based SAR","volume":"44","author":"Liu","year":"2019","journal-title":"Geomatics Inf. Sci. Wuhan Univ."},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.11834\/jrs.20221569"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3578938"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.2991\/ijcis.2018.25905189"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.11947\/j.AGCS.2021.20210085"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(96)00034-3"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1264"},{"issue":"6","key":"ref19","first-page":"1265","article-title":"A prototype learning based on multi-instance convolutional neural network","volume":"40","author":"He","year":"2017","journal-title":"Chin. J. Comput."},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2952588"},{"key":"ref21","first-page":"913","article-title":"Image categorization by learning and reasoning with regions","volume":"5","author":"Chen","year":"2004","journal-title":"J. Mach. Learn. Res."},{"issue":"8","key":"ref22","first-page":"1723","article-title":"Multi-instance learning with incremental classes","volume":"59","author":"Wei","year":"2022","journal-title":"J. Comput. Res. Develop."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2013.2262099"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2013.06.003"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref26","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. IEEE Int. Conf. Neural Inf. Process. Syst.","author":"Krizhevsky"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref30","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Simonyan","year":"2015"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00309"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2938758"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref34","first-page":"3859","article-title":"Dynamic routing between capsules","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Sabour"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853873"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298968"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00077"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3070368"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-022-04353-2"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3389\/feart.2022.849531"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.2969809"},{"issue":"10","key":"ref42","first-page":"1441","article-title":"Rapid extraction of flood disaster emergency information with multi-modal sequence remote sensing images","volume":"46","author":"Sui","year":"2021","journal-title":"Geomatics Inf. Sci. Wuhan Univ."},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117268"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2960889"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107622"},{"key":"ref46","first-page":"10","article-title":"xBD: A dataset for assessing building damage from satellite imagery","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. Workshop","author":"Gupta"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.414"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/10330207\/10352941.pdf?arnumber=10352941","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T18:23:02Z","timestamp":1725560582000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10352941\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/jstars.2023.3340413","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}