{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:55:02Z","timestamp":1774367702052,"version":"3.50.1"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42474040"],"award-info":[{"award-number":["42474040"]}],"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":["42101450"],"award-info":[{"award-number":["42101450"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019410","name":"Yunnan Fundamental Research Projects","doi-asserted-by":"publisher","award":["202301AT070145"],"award-info":[{"award-number":["202301AT070145"]}],"id":[{"id":"10.13039\/501100019410","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project \u201cYunnan Revitalization Talent Support Program;\u201d"},{"name":"European Space Agency (ESA) for providing the Sentinel-1\/2 Dataset under the Framework of the Sino-European Union (EU) Dragon Project","award":["95473"],"award-info":[{"award-number":["95473"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3543580","type":"journal-article","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T18:47:46Z","timestamp":1739990866000},"page":"1-16","source":"Crossref","is-referenced-by-count":5,"title":["A Transfer Learning Approach for Deformation Pattern Recognition in InSAR Time Series"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1449-3494","authenticated-orcid":false,"given":"Mengshi","family":"Yang","sequence":"first","affiliation":[{"name":"School of Earth Sciences, Yunnan University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5481-8514","authenticated-orcid":false,"given":"Saiwei","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of International Rivers and Eco-Security, Yunnan University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Yu","sequence":"additional","affiliation":[{"name":"Institute of International Rivers and Eco-Security, Yunnan University, Kunming, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3045093"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3098182"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2459037"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/rs16081375"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.12.001"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2019.2945370"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.04.022"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103276"},{"issue":"6","key":"ref9","first-page":"704","article-title":"Post-processing of InSAR deformation time series using clustering-based pattern identification","volume":"32","author":"Zhu","year":"2023","journal-title":"J. Beijing Inst. Technol."},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.5194\/nhess-13-1945-2013"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2018.2873644"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3390\/rs14153821"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2023.103611"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3180994"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/rs16010054"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2020.3046356"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/36.898661"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1029\/2008gl034654"},{"key":"ref19","volume-title":"Persistent scatterer interferometry based on geodetic estimation theory","author":"Van Leijen","year":"2014"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/15481603.2022.2030535"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4020-9428-6"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1029\/2010GL044780"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1029\/2002jb002330"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1099-1085(199805)12:6<943::AID-HYP664>3.0.CO;2-Z"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3134177"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jag.2019.101981"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1021\/ac60214a047"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2010.2051942"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/78.650093"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"ref32","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"Bai","year":"2018","journal-title":"arXiv:1803.01271"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.21437\/SSW.2016"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3243900"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2024.3362389"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3099997"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2020.3018315"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2021.08.009"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3224030"},{"key":"ref43","first-page":"1","article-title":"Algorithms for hyper-parameter optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Bergstra"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3169455"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3155969"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-021-01605-0"},{"key":"ref47","article-title":"Deep learning scaling is predictable, empirically","author":"Hestness","year":"2017","journal-title":"arXiv:1712.00409"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/10892230.pdf?arnumber=10892230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T18:39:41Z","timestamp":1741372781000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10892230\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3543580","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}