{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T05:01:19Z","timestamp":1777870879798,"version":"3.51.4"},"reference-count":48,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T00:00:00Z","timestamp":1788220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100019447","name":"Applied Basic Research Project of Shanxi Province, China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019447","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003398","name":"Shanxi Scholarship Council of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003398","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004761","name":"Natural Science Foundation of Hainan Province","doi-asserted-by":"publisher","award":["422QN350"],"award-info":[{"award-number":["422QN350"]}],"id":[{"id":"10.13039\/501100004761","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004761","name":"Natural Science Foundation of Hainan Province","doi-asserted-by":"publisher","award":["Grant422QN350"],"award-info":[{"award-number":["Grant422QN350"]}],"id":[{"id":"10.13039\/501100004761","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002338","name":"Ministry of Education of the People's Republic of China","doi-asserted-by":"publisher","award":["221002722143739"],"award-info":[{"award-number":["221002722143739"]}],"id":[{"id":"10.13039\/501100002338","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Pattern Recognition"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.patcog.2026.113259","type":"journal-article","created":{"date-parts":[[2026,2,9]],"date-time":"2026-02-09T17:10:55Z","timestamp":1770657055000},"page":"113259","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["FCdDNet: Feature cross-domain decoupling network for remote sensing change detection"],"prefix":"10.1016","volume":"177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3372-7906","authenticated-orcid":false,"given":"Bin","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8846-1251","authenticated-orcid":false,"given":"Bo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9086-7366","authenticated-orcid":false,"given":"Pinle","family":"Qin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7755-7550","authenticated-orcid":false,"given":"Jianchao","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.patcog.2026.113259_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111839","article-title":"AGFormer: An anchor-guided transformer for class imbalance in remote sensing change detection","volume":"168","author":"Chen","year":"2025","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113259_bib0002","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"24463","article-title":"Towards generalizable scene change detection","author":"Kim","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0003","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"8838","article-title":"DefMamba: deformable visual state space model","author":"Liu","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0004","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"12647","article-title":"Feature spectrum learning for remote sensing change detection","author":"Zang","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.112040","article-title":"SAR image change detection via generalized extreme value (GEV) modeling","volume":"170","author":"Zhang","year":"2026","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113259_bib0006","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"27346","article-title":"Deep change monitoring: a hyperbolic representative learning framework and a dataset for long-term fine-grained tree change detection","author":"Li","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0007","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2020.107598","article-title":"Nonlocal patch similarity based heterogeneous remote sensing change detection","volume":"109","author":"Sun","year":"2021","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113259_bib0008","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.isprsjprs.2025.09.009","article-title":"Detecting changes without comparing images: rules induced change detection in heterogeneous remote sensing images","volume":"230","author":"Sun","year":"2025","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0009","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.isprsjprs.2024.01.004","article-title":"ChangeCLIP: remote sensing change detection with multimodal vision-language representation learning","volume":"208","author":"Dong","year":"2024","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0010","doi-asserted-by":"crossref","first-page":"4543","DOI":"10.1109\/TIP.2024.3424335","article-title":"Remote sensing change detection with bitemporal and differential feature interactive perception","volume":"33","author":"Chang","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.patcog.2026.113259_bib0011","series-title":"Proc. AAAI Conf. Artif. Intell.","first-page":"8150","article-title":"Mambapro: multi-modal object re-identification with mamba aggregation and synergistic prompt","author":"Wang","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0012","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"2204","article-title":"The change you want to detect: semantic change detection in earth observation with hybrid data generation","author":"Benidir","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.112169","article-title":"Softmatch distance: a novel distance for weakly-supervised trend change detection in bi-temporal images","volume":"171","author":"Yang","year":"2026","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113259_bib0014","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102634","article-title":"CSWin-UNet: Transformer UNet with cross-shaped windows for medical image segmentation","volume":"113","author":"Liu","year":"2025","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.patcog.2026.113259_bib0015","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"24011","article-title":"Change3D: revisiting change detection and captioning from a video modeling perspective","author":"Zhu","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0016","series-title":"Proc. AAAI Conf. Artif. Intell.","first-page":"8205","article-title":"Mamba yolo: a simple baseline for object detection with state space model","author":"Wang","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0017","series-title":"Proc. AAAI Conf. Artif. Intell.","first-page":"9763","article-title":"ChangeDiff: a multi-temporal change detection data generator with flexible text prompts via diffusion model","author":"Zang","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0018","doi-asserted-by":"crossref","first-page":"14656","DOI":"10.1109\/JSTARS.2024.3439991","article-title":"WSMsFNet: joint the whole supervision and multiscale fusion network for remote sensing image change detection","volume":"17","author":"Wang","year":"2024","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0019","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2025.114912","article-title":"Multi-temporal high-resolution urban land-use mapping and change analysis based on a deep geospatial-temporal adaptation network","volume":"328","author":"Shi","year":"2025","journal-title":"Remote Sens. Environ."},{"issue":"2","key":"10.1016\/j.patcog.2026.113259_bib0020","doi-asserted-by":"crossref","first-page":"2634","DOI":"10.1109\/TNNLS.2023.3347301","article-title":"Cycle-refined multidecision joint alignment network for unsupervised domain adaptive hyperspectral change detection","volume":"36","author":"Qu","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.patcog.2026.113259_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.111861","article-title":"Learning region-aware style-content feature transformations for face image beautification","volume":"170","author":"Xu","year":"2026","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.patcog.2026.113259_bib0022","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.isprsjprs.2024.09.002","article-title":"Harmony in diversity: content cleansing change detection framework for very-high-resolution remote-sensing images","volume":"218","author":"Cheng","year":"2024","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0023","first-page":"1","article-title":"An adaptive weighted metric learning network based on fractional domain decoupling for hyperspectral change detection","author":"Feng","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.patcog.2026.113259_bib0024","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2025.103359","article-title":"Dual-domain decoupled fusion network for semantic segmentation of remote sensing images","volume":"124","author":"Li","year":"2025","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.patcog.2026.113259_bib0025","series-title":"Proc. Int. Conf. Comput. Vis.","first-page":"2941","article-title":"Decouple before interact: multi-modal prompt learning for continual visual question answering","author":"Qian","year":"2023"},{"key":"10.1016\/j.patcog.2026.113259_bib0026","first-page":"1","article-title":"DSFDcd: joint distribution sampling and feature decoupling deep network for remote sensing change detection","volume":"63","author":"Wang","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0027","series-title":"Proc. Int. Conf. Comput. Vis.","first-page":"6252","article-title":"Anchor-intermediate detector: decoupling and coupling bounding boxes for accurate object detection","author":"Lv","year":"2023"},{"key":"10.1016\/j.patcog.2026.113259_bib0028","first-page":"1","article-title":"Semantic change detection based on supervised contrastive learning for high-resolution remote sensing imagery","volume":"62","author":"Wang","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0029","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2025.114689","article-title":"RealFusion: a reliable deep learning-based spatiotemporal fusion framework for generating seamless fine-resolution imagery","volume":"321","author":"Guo","year":"2025","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.patcog.2026.113259_bib0030","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"9762","article-title":"Interpretable image classification via non-parametric part prototype learning","author":"Zhu","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0031","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"4884","article-title":"Adapter merging with centroid prototype mapping for scalable class-incremental learning","author":"Fukuda","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0032","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TNNLS.2025.3641830","article-title":"Robust spatiotemporal prototype learning for spiking neural networks","author":"Cai","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.patcog.2026.113259_bib0033","series-title":"2025 Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"10131","article-title":"Unsupervised continual domain shift learning with multi-prototype modeling","author":"Sun","year":"2025"},{"key":"10.1016\/j.patcog.2026.113259_bib0034","first-page":"1","article-title":"Beyond pixel-level annotation: exploring self-supervised learning for change detection with image-level supervision","volume":"62","author":"Zhao","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0035","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TGRS.2024.3493095","article-title":"Integrating local-global structural interaction using siamese graph neural network for urban land use change detection from VHR satellite images","volume":"62","author":"Lou","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0036","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110901","article-title":"Characteristic discriminative prototype network with detailed interpretation for classification","volume":"157","author":"Wen","year":"2025","journal-title":"Pattern Recognit."},{"issue":"4","key":"10.1016\/j.patcog.2026.113259_bib0037","doi-asserted-by":"crossref","first-page":"7169","DOI":"10.1109\/TNNLS.2024.3393072","article-title":"Heterogeneous prototype learning from contaminated faces across domains via disentangling latent factors","volume":"36","author":"Pang","year":"2025","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"10","key":"10.1016\/j.patcog.2026.113259_bib0038","doi-asserted-by":"crossref","first-page":"8613","DOI":"10.1109\/TPAMI.2025.3578494","article-title":"ComPTR: toward diverse bi-source dense prediction tasks via a simple yet general complementary transformer[dataset]","volume":"47","author":"Pang","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.patcog.2026.113259_bib0039","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1109\/JSTARS.2024.3485687","article-title":"RaHFF-Net: recall-adjustable hierarchical feature fusion network for remote sensing image change detection[dataset]","volume":"18","author":"Wang","year":"2025","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"issue":"2","key":"10.1016\/j.patcog.2026.113259_bib0040","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1109\/TPAMI.2024.3475824","article-title":"Changen2: multi-temporal remote sensing generative change foundation model[dataset]","volume":"47","author":"Zheng","year":"2025","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"10.1016\/j.patcog.2026.113259_bib0041","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1109\/LGRS.2020.2988032","article-title":"Building change detection for remote sensing images using a dual-task constrained deep siamese convolutional network model","volume":"18","author":"Liu","year":"2021","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.patcog.2026.113259_bib0042","first-page":"1","article-title":"Remote sensing image change detection with transformers","volume":"60","author":"Chen","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0043","first-page":"207","article-title":"A transformer - based siamese network for change detection","author":"Bandara","year":"2022","journal-title":"Proc. IEEE Int. Geosci. Remote Sens. Symp."},{"key":"10.1016\/j.patcog.2026.113259_bib0044","first-page":"1","article-title":"ICIF-Net: intra-scale cross-interaction and inter-scale feature fusion network for bitemporal remote sensing images change detection","volume":"60","author":"Feng","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0045","first-page":"1","article-title":"Change detection on remote sensing images using dual-branch multilevel intertemporal network","volume":"61","author":"Feng","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0046","first-page":"1","article-title":"Ultralightweight spatial-spectral feature cooperation network for change detection in remote sensing images","volume":"61","author":"Lei","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0047","first-page":"1","article-title":"ChangeMamba: remote sensing change detection with spatiotemporal state space model","volume":"62","author":"Chen","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.patcog.2026.113259_bib0048","first-page":"1","article-title":"Spatiotemporal enhancement and interlevel fusion network for remote sensing images change detection","volume":"62","author":"Huang","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."}],"container-title":["Pattern Recognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326002244?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0031320326002244?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T16:48:55Z","timestamp":1777567735000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0031320326002244"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":48,"alternative-id":["S0031320326002244"],"URL":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113259","relation":{},"ISSN":["0031-3203"],"issn-type":[{"value":"0031-3203","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"FCdDNet: Feature cross-domain decoupling network for remote sensing change detection","name":"articletitle","label":"Article Title"},{"value":"Pattern Recognition","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.patcog.2026.113259","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"113259"}}