{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T18:43:47Z","timestamp":1775155427853,"version":"3.50.1"},"reference-count":87,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071439"],"award-info":[{"award-number":["62071439"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61871259"],"award-info":[{"award-number":["61871259"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Opening Foundation of Qilian Mountain National Park Research Center","award":["GKQ2019-01"],"award-info":[{"award-number":["GKQ2019-01"]}]},{"name":"Opening Foundation of Beijing Key Laboratory of Urban Spatial Information Engineering","award":["20210209"],"award-info":[{"award-number":["20210209"]}]},{"name":"Opening Foundation of Geomatics Technology and Application Key Laboratory of Qinghai Province","award":["QHDX-2019-01"],"award-info":[{"award-number":["QHDX-2019-01"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/jstars.2021.3117975","type":"journal-article","created":{"date-parts":[[2021,10,7]],"date-time":"2021-10-07T02:47:00Z","timestamp":1633574820000},"page":"11417-11428","source":"Crossref","is-referenced-by-count":84,"title":["Landslide Detection Mapping Employing CNN, ResNet, and DenseNet in the Three Gorges Reservoir, China"],"prefix":"10.1109","volume":"14","author":[{"given":"Tong","family":"Liu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6965-1256","authenticated-orcid":false,"given":"Tao","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Ruiqing","family":"Niu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9613-1659","authenticated-orcid":false,"given":"Antonio","family":"Plaza","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.2976560"},{"key":"ref72","doi-asserted-by":"crossref","first-page":"15857","DOI":"10.1007\/s00521-018-3889-z","article-title":"A deep convolutional neural network model for automated identification of abnormal EEG signals","volume":"32","author":"y?ld?r?m","year":"2020","journal-title":"Neural Comput Appl"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.3390\/app10228189"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08429-9"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.3390\/s20041151"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-53498-5_8"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2981561"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/YAC.2016.7804935"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8863388"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1016\/j.image.2020.115836"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3101203"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.catena.2018.01.012"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-015-4866-9"},{"key":"ref31","article-title":"GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with adaboost, bagging, and multiboost ensemble frameworks","volume":"75","author":"bui","year":"2016","journal-title":"Environ Earth Sci"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.catena.2016.06.004"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.111235"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.3390\/s18124436"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/s10346-015-0557-6","article-title":"Spatial prediction models for shallow landslide hazards: A comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree","volume":"13","author":"bui","year":"2016","journal-title":"Landslides"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s12303-015-0026-1"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1016\/j.geomorph.2012.12.001"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.earscirev.2018.03.001"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3390\/rs11060638"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-016-5317-y"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/rs11212575"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-12-1937-2012"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1080\/19475705.2018.1513083"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.catena.2012.05.005"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-016-6374-y"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2010.10.012"},{"key":"ref67","first-page":"338","article-title":"Landslide susceptibility assessment at a part of Uttarakhand Himalaya, India using GIS&#x2013;based statistical approach of frequency ratio method","volume":"4","author":"pham","year":"2015","journal-title":"Int J Eng Tech Res"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1142\/S1793351X16500045"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s12524-018-0791-1"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/S0013-7952(01)00093-X"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-018-7334-5"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2889307"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs12101560"},{"key":"ref24","first-page":"7345","article-title":"A review of methods for classification of remote sensing images","volume":"17","author":"hua","year":"2005","journal-title":"Remote Sens Land Resour"},{"key":"ref23","first-page":"352","article-title":"Optimal segmentation scale selection for object-oriented remote sensing image classification","volume":"15","author":"huan","year":"2010","journal-title":"J Image Graph"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/f11080830"},{"key":"ref25","first-page":"67","article-title":"Research on landslides extraction based on the Wenchuan earthquake in GF-1 remote sensing image","author":"huang","year":"2018","journal-title":"Bulletin of Surveying and Mapping"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3032475"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3045273"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1007\/s10346-016-0769-4"},{"key":"ref58","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s00254-007-0964-7","article-title":"The landslides in the Three Gorges Reservoir region, China and the effects of water storage and rain on their stability","volume":"55","author":"he","year":"2008","journal-title":"Environ Geol"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.geomorph.2013.08.013"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/abaeb7"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2935761"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3390\/rs11172046"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-020-03604-4"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3028855"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3088865"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.3390\/rs11212530"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3050824"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2998684"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3085870"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-555X(03)00164-8"},{"key":"ref15","first-page":"337","article-title":"Detection of landslide areas using satellite radar interferometry","volume":"66","author":"kimura","year":"2000","journal-title":"Photogramm Eng Remote Sens"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11069-016-2361-6"},{"key":"ref82","article-title":"Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN","volume":"163","author":"yang","year":"2019","journal-title":"Comput Electron Agriculture"},{"key":"ref17","article-title":"Landslide detection and susceptibility mapping by AIRSAR data using support vector machine and index of entropy models in Cameron highlands, Malaysia","volume":"10","author":"bui","year":"2018","journal-title":"Remote Sens"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijrobp.2019.06.570"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2005.08.004"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-014-3811-7"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2918254"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1007\/s40808-018-0426-0"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3079196"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs12010082"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jenvman.2021.113655"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s12665-013-2217-2"},{"key":"ref5","article-title":"Object-oriented landslide mapping using ZY-3 satellite imagery, random forest and mathematical morphology, for the three-Gorges Reservoir, China","volume":"9","author":"chen","year":"2017","journal-title":"Remote Sens"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1007\/s10661-015-5049-6"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-10-2539-2010"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112589"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2910151"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11629-019-5839-3"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3009352"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3018879"},{"key":"ref46","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2019.03.013"},{"key":"ref41","first-page":"281","article-title":"Dynamic development of landslide susceptibility based on slope unit and deep neural networks","volume":"18","author":"ye","year":"2020","journal-title":"Landslides"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref43","article-title":"LeNet-5, convolutional neural networks","author":"lecun","year":"2015"}],"container-title":["IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4609443\/9314330\/09560068.pdf?arnumber=9560068","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T21:05:13Z","timestamp":1641848713000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9560068\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":87,"URL":"https:\/\/doi.org\/10.1109\/jstars.2021.3117975","relation":{},"ISSN":["1939-1404","2151-1535"],"issn-type":[{"value":"1939-1404","type":"print"},{"value":"2151-1535","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}