{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T19:06:14Z","timestamp":1764270374175,"version":"3.46.0"},"reference-count":52,"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"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tgrs.2025.3633586","type":"journal-article","created":{"date-parts":[[2025,11,17]],"date-time":"2025-11-17T18:41:09Z","timestamp":1763404869000},"page":"1-15","source":"Crossref","is-referenced-by-count":0,"title":["SP4CD: A Hierarchical Stripe Patch-Based Method for Change Detection in Remote Sensing Images"],"prefix":"10.1109","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8738-8352","authenticated-orcid":false,"given":"Zhilin","family":"Qu","sequence":"first","affiliation":[{"name":"College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6350-3584","authenticated-orcid":false,"given":"Lianghao","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8652-1656","authenticated-orcid":false,"given":"Zehua","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5103-9973","authenticated-orcid":false,"given":"Mingzhe","family":"Li","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7789-9657","authenticated-orcid":false,"given":"Jiajie","family":"Shi","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology (Big Data), Taiyuan University of Technology, Taiyuan, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2021.101310"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cities.2024.105682"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112577"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.acags.2025.100227"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/rs12060901"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2016.2569598"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/ijgi7100401"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2014.02.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/rs16132355"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/rs12101662"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3360516"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.06.003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451652"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2021.3056416"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2020.3037893"},{"key":"ref16","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3491755"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3540013"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3362914"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3540864"},{"key":"ref21","article-title":"Mamba: Linear-time sequence modeling with selective state spaces","author":"Gu","year":"2023","journal-title":"arXiv:2312.00752"},{"key":"ref22","article-title":"Efficiently modeling long sequences with structured state spaces","author":"Gu","year":"2021","journal-title":"arXiv:2111.00396"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.52202\/079017-3273"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3545012"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2025.3551754"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/rs16173200"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2025.3527039"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3510627"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2018.8646512"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3398820"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.11.004"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3261273"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3095166"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS46834.2022.9883686"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3224081"},{"key":"ref36","article-title":"Vision mamba: Efficient visual representation learning with bidirectional state space model","author":"Zhu","year":"2024","journal-title":"arXiv:2401.09417"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2025.3574657"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3425540"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2024.3417253"},{"key":"ref40","article-title":"CD-lamba: Boosting remote sensing change detection via a cross-temporal locally adaptive state space model","author":"Wu","year":"2025","journal-title":"arXiv:2501.15455"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2025.3559085"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref43","first-page":"11863","article-title":"SimAM: A simple, parameter-free attention module for convolutional neural networks","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Yang"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2018.2858817"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2021.3085870"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-025-10972-5"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2022.3177235"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2022.3200396"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2022.3159544"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2023.3241257"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67558-9_28"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9206626"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/36\/10807682\/11250721.pdf?arnumber=11250721","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T18:58:08Z","timestamp":1764269888000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11250721\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2025.3633586","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"type":"print","value":"0196-2892"},{"type":"electronic","value":"1558-0644"}],"subject":[],"published":{"date-parts":[[2025]]}}}