{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T16:36:09Z","timestamp":1775838969852,"version":"3.50.1"},"reference-count":103,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022ZD0160401"],"award-info":[{"award-number":["2022ZD0160401"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62125102"],"award-info":[{"award-number":["62125102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004826","name":"Beijing Natural Science Foundation","doi-asserted-by":"publisher","award":["JL23005"],"award-info":[{"award-number":["JL23005"]}],"id":[{"id":"10.13039\/501100004826","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/tgrs.2023.3325829","type":"journal-article","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T18:07:21Z","timestamp":1697738841000},"page":"1-20","source":"Crossref","is-referenced-by-count":34,"title":["Continuous Cross-Resolution Remote Sensing Image Change Detection"],"prefix":"10.1109","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6418-3761","authenticated-orcid":false,"given":"Hao","family":"Chen","sequence":"first","affiliation":[{"name":"Shanghai Artificial Intelligence Laboratory, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1296-3984","authenticated-orcid":false,"given":"Haotian","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Artificial Intelligence Laboratory, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0483-1306","authenticated-orcid":false,"given":"Keyan","family":"Chen","sequence":"additional","affiliation":[{"name":"Shanghai Artificial Intelligence Laboratory, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9394-0377","authenticated-orcid":false,"given":"Chenyao","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shanghai Artificial Intelligence Laboratory, Shanghai, China"}]},{"given":"Song","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Journalism and Communications, Jeonbuk National University, Jeonju, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1774-552X","authenticated-orcid":false,"given":"Zhengxia","family":"Zou","sequence":"additional","affiliation":[{"name":"Shanghai Artificial Intelligence Laboratory, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4772-3172","authenticated-orcid":false,"given":"Zhenwei","family":"Shi","sequence":"additional","affiliation":[{"name":"Shanghai Artificial Intelligence Laboratory, Shanghai, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/01431168908903939"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/rs12101662"},{"key":"ref3","article-title":"Building damage detection in satellite imagery using convolutional neural networks","author":"Xu","year":"2019","journal-title":"arXiv:1910.06444"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/36.843009"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/rs12060901"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2021","journal-title":"arXiv:2010.11929"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/rs12101688"},{"issue":"18","key":"ref9","doi-asserted-by":"crossref","first-page":"4527","DOI":"10.3390\/rs14184527","article-title":"RACDNet: Resolution- and alignment-aware change detection network for optical remote sensing imagery","volume":"14","author":"Tian","year":"2022","journal-title":"Remote Sens."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3091758"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3189188"},{"issue":"5","key":"ref12","doi-asserted-by":"crossref","first-page":"131","DOI":"10.3390\/ijgi6050131","article-title":"Detecting damaged building regions based on semantic scene change from multi-temporal high-resolution remote sensing images","volume":"6","author":"Tu","year":"2017","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref13","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.isprsjprs.2016.02.013","article-title":"Change detection based on deep feature representation and mapping transformation for multi-spatial-resolution remote sensing images","volume":"116","author":"Zhang","year":"2016","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3200684"},{"issue":"18","key":"ref15","doi-asserted-by":"crossref","first-page":"3750","DOI":"10.3390\/rs13183750","article-title":"SUNet: Change detection for heterogeneous remote sensing images from satellite and UAV using a dual-channel fully convolution network","volume":"13","author":"Shao","year":"2021","journal-title":"Remote Sens."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3079907"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/rs11111382"},{"key":"ref20","first-page":"4063","article-title":"Fully convolutional Siamese networks for change detection","volume-title":"Proc. 25th IEEE Int. Conf. Image Process. (ICIP)","author":"Daudt"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2948659"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.003"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.2988032"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2019.8900330"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3193502"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3169479"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3066802"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.2981051"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2019.2955309"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/rs12030484"},{"key":"ref31","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Adv. Neural Inf. Process. Syst., Annu. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00195"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12505"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1088\/1755-1315\/502\/1\/012017"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883686"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3160007"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3188636"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.07.016"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2869608"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3197901"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3174276"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3209972"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3033009"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3144304"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3199502"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3037893"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3168331"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3165885"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3217038"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3213925"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3200396"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2022.3176055"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3095166"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3159544"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3241257"},{"key":"ref56","article-title":"Changer: Feature interaction is what you need for change detection","author":"Fang","year":"2022","journal-title":"arXiv:2209.08290"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3018858"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3055584"},{"key":"ref59","article-title":"Multitask learning for large-scale semantic change detection","volume":"187","author":"Daudt","year":"2019","journal-title":"Comput. Vis. Image Understand."},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3165851"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3106697"},{"issue":"4","key":"ref62","doi-asserted-by":"crossref","first-page":"2720","DOI":"10.1109\/TGRS.2019.2953879","article-title":"Incorporating metric learning and adversarial network for seasonal invariant change detection","volume":"58","author":"Zhao","year":"2020","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108960"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2018.8646512"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/iccv48922.2021.00928"},{"key":"ref66","article-title":"SSL4EO-s12: A large-scale multi-modal, multi-temporal dataset for self-supervised learning in Earth observation","author":"Wang","year":"2022","journal-title":"arXiv:2211.07044"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3203769"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3056416"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2020.3035780"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-V-3-2022-681-2022"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.3390\/rs13183707"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2022.102676"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3198517"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3176858"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3204191"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi11040263"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26284-5_5"},{"key":"ref79","first-page":"1","article-title":"Implicit neural representations with periodic activation functions","volume-title":"Proc. Adv. Neural Inf. Process. Syst., Annu. Conf. Neural Inf. Process. Syst.","author":"Sitzmann"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00725"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58452-8_24"},{"key":"ref82","first-page":"8624","article-title":"Learning continuous image representation with local implicit image function","volume-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Chen"},{"key":"ref83","article-title":"UltraSR: Spatial encoding is a missing key for implicit image function-based arbitrary-scale super-resolution","author":"Xu","year":"2021","journal-title":"arXiv:2103.12716"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00137"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19818-2_28"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00264"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3197409"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/tgrs.2023.3285659"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3227392"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3232705"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3272473"},{"issue":"7","key":"ref92","doi-asserted-by":"crossref","first-page":"3573","DOI":"10.3390\/s23073573","article-title":"SR-FEINR: Continuous remote sensing image super-resolution using feature-enhanced implicit neural representation","volume":"23","author":"Luo","year":"2023","journal-title":"Sensors"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3228287"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.108717"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1117\/1.JRS.17.016515"},{"key":"ref96","article-title":"IDAN: Image difference attention network for change detection","author":"Liu","year":"2022","journal-title":"arXiv:2208.08292"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1986.4767851"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLII-2-565-2018"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.02048"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1109\/cvprw50498.2020.00020"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10006360\/10287990.pdf?arnumber=10287990","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T09:59:07Z","timestamp":1709373547000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10287990\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":103,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2023.3325829","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}