{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T00:19:23Z","timestamp":1783210763405,"version":"3.54.6"},"reference-count":39,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100015401","name":"Shaanxi Province Key Research and Development Projects","doi-asserted-by":"publisher","award":["2024CY2-GJHX-43"],"award-info":[{"award-number":["2024CY2-GJHX-43"]}],"id":[{"id":"10.13039\/501100015401","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Sciences"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.ins.2026.123837","type":"journal-article","created":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T16:24:07Z","timestamp":1782491047000},"page":"123837","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["CSANet: Adaptive all-to-all cross-scale alignment for robust remote sensing change detection"],"prefix":"10.1016","volume":"756","author":[{"given":"Wenchao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7945-9804","authenticated-orcid":false,"given":"Wenhui","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiang","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuxiang","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"10","key":"10.1016\/j.ins.2026.123837_bib0005","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3390\/rs12101662","article-title":"A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection","volume":"12","author":"Chen","year":"2020","journal-title":"Remote Sens."},{"issue":"1","key":"10.1016\/j.ins.2026.123837_bib0010","doi-asserted-by":"crossref","first-page":"574","DOI":"10.1109\/TGRS.2018.2858817","article-title":"Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set","volume":"57","author":"Ji","year":"2019","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"8","key":"10.1016\/j.ins.2026.123837_bib0015","doi-asserted-by":"crossref","first-page":"3907","DOI":"10.5194\/essd-13-3907-2021","article-title":"The 30m annual land cover dataset and its dynamics in China from 1990 to 2019","volume":"13","author":"Yang","year":"2021","journal-title":"Earth Syst. Sci. Data"},{"issue":"24","key":"10.1016\/j.ins.2026.123837_bib0020","doi-asserted-by":"crossref","first-page":"5012","DOI":"10.3390\/rs13245094","article-title":"S2Looking: A Satellite Side-Looking Dataset for Building Change Detection","volume":"13","author":"Shen","year":"2021","journal-title":"Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0025","first-page":"1","article-title":"A Deeply Supervised Attention Metric-Based Network and an Open Aerial Image Dataset for Remote Sensing Change Detection","volume":"60","author":"Shi","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2024.114373","article-title":"Flood inundation monitoring using multi-source satellite imagery: a knowledge transfer strategy for heterogeneous image change detection","volume":"314","author":"Zhao","year":"2024","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.ins.2026.123837_bib0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2022.108717","article-title":"HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images","volume":"129","author":"Zheng","year":"2022","journal-title":"Pattern Recognit."},{"key":"10.1016\/j.ins.2026.123837_bib0040","series-title":"2022 2nd International Conference on Computation, Communication and Engineering (ICCCE)","first-page":"79","article-title":"SAR Image Change Detection based on Multi-scale Feature Guided Residual CNN","author":"Zhao","year":"2022"},{"key":"10.1016\/j.ins.2026.123837_bib0045","first-page":"1","article-title":"Hybrid Attention-Aware Transformer Network Collaborative Multiscale Feature Alignment for Building Change Detection","volume":"73","author":"Xu","year":"2024","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.ins.2026.123837_bib0050","article-title":"Dual Fine-Grained network with frequency Transformer for change detection on remote sensing images","volume":"136","author":"Li","year":"2025","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.ins.2026.123837_bib0055","series-title":"Proceedings of the Asian Conference on Computer Vision (ACCV)","first-page":"1691","article-title":"Fully Transformer Network for Change Detection of Remote Sensing Images","author":"Yan","year":"2022"},{"key":"10.1016\/j.ins.2026.123837_bib0060","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.isprsjprs.2021.10.015","article-title":"ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection","volume":"183","author":"Zheng","year":"2022","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0065","doi-asserted-by":"crossref","first-page":"5765","DOI":"10.1109\/JSTARS.2025.3531499","article-title":"LCCDMamba: Visual State Space Model for Land Cover Change Detection of VHR Remote Sensing Images","volume":"18","author":"Huang","year":"2025","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"issue":"4","key":"10.1016\/j.ins.2026.123837_bib0070","doi-asserted-by":"crossref","first-page":"5344","DOI":"10.1109\/TCSVT.2025.3629814","article-title":"Change Detection Mamba With Boundary-Specific Supervision","volume":"36","author":"Wang","year":"2026","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"10.1016\/j.ins.2026.123837_bib0075","series-title":"2025 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","first-page":"1186","article-title":"A Mamba-Based Siamese Network for Remote Sensing Change Detection","author":"Paranjape","year":"2025"},{"key":"10.1016\/j.ins.2026.123837_bib0080","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.129843","article-title":"Multi-scenario building change detection in remote sensing images using CNN-Mamba hybrid network and consistency enhancement learning","volume":"298","author":"Li","year":"2026","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123837_bib0085","author":"Chen"},{"key":"10.1016\/j.ins.2026.123837_bib0090","article-title":"Deep learning change detection techniques for optical remote sensing imagery: Status, perspectives and challenges","volume":"136","author":"Peng","year":"2025","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.ins.2026.123837_bib0095","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1109\/JSTARS.2024.3490754","article-title":"DED-SAM:Adapting Segment Anything Model 2 for Dual Encoder\u2013Decoder Change Detection","volume":"18","author":"Qiu","year":"2025","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0100","series-title":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","first-page":"8509","article-title":"Change Detection between Optical Remote Sensing Imagery and Map Data Via Segment Anything Model (SAM)","author":"Chen","year":"2024"},{"key":"10.1016\/j.ins.2026.123837_bib0105","first-page":"1","article-title":"Combining SAM With Limited Data for Change Detection in Remote Sensing","volume":"63","author":"Gao","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0110","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2026.131472","article-title":"Adapting vision foundation models with lightweight trident decoder for remote sensing change detection","volume":"313","author":"Ye","year":"2026","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.ins.2026.123837_bib0115","series-title":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","first-page":"6672","article-title":"Exchange Data Augmentation for Change Detection","author":"Duan","year":"2023"},{"key":"10.1016\/j.ins.2026.123837_bib0120","series-title":"2024 International Radar Conference (RADAR)","first-page":"1","article-title":"Improving Deep Learning Change Detection in Automotive Radar Maps by Data Augmentation","author":"Swaminathan","year":"2024"},{"key":"10.1016\/j.ins.2026.123837_bib0125","series-title":"IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium","first-page":"6132","article-title":"Data Augmentation For Remote Sensing Semantic Segmentation Via Controllable Diffusion Models","author":"Xie","year":"2025"},{"key":"10.1016\/j.ins.2026.123837_bib0130","first-page":"1","article-title":"Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images","volume":"62","author":"Ding","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0135","doi-asserted-by":"crossref","first-page":"1301","DOI":"10.1007\/s10514-018-9734-5","article-title":"Street-view change detection with deconvolutional networks","volume":"42","author":"Alcantarilla","year":"2018","journal-title":"Auton. Robots"},{"key":"10.1016\/j.ins.2026.123837_bib0140","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.isprsjprs.2020.06.003","article-title":"A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images","volume":"166","author":"Zhang","year":"2020","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0145","series-title":"2018 25th IEEE International Conference on Image Processing (ICIP)","first-page":"4063","article-title":"Fully Convolutional Siamese Networks for Change Detection","author":"Caye Daudt","year":"2018"},{"key":"10.1016\/j.ins.2026.123837_bib0150","first-page":"1","article-title":"SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images","volume":"19","author":"Fang","year":"2022","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.ins.2026.123837_bib0155","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LGRS.2023.3304309","article-title":"LightCDNet: Lightweight Change Detection Network Based on VHR Images","volume":"20","author":"Xing","year":"2023","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"11","key":"10.1016\/j.ins.2026.123837_bib0160","doi-asserted-by":"crossref","first-page":"8471","DOI":"10.1007\/s00521-022-08122-3","article-title":"TINYCD: A (not so) deep learning model for change detection","volume":"35","author":"Codegoni","year":"2023","journal-title":"Neural Comput. Appl."},{"key":"10.1016\/j.ins.2026.123837_bib0165","doi-asserted-by":"crossref","first-page":"3448","DOI":"10.1109\/JSTARS.2025.3525595","article-title":"FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection","volume":"18","author":"Zhu","year":"2025","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0170","series-title":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","first-page":"207","article-title":"A Transformer-Based Siamese Network for Change Detection","author":"Bandara","year":"2022"},{"key":"10.1016\/j.ins.2026.123837_bib0175","first-page":"1","article-title":"Relation Changes Matter: Cross-Temporal Difference Transformer for Change Detection in Remote Sensing Images","volume":"61","author":"Zhang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0180","first-page":"1","article-title":"EATDer: Edge-Assisted Adaptive Transformer Detector for Remote Sensing Change Detection","volume":"62","author":"Ma","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0185","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.ins.2026.123837_bib0190","first-page":"1","article-title":"CDMamba: Incorporating Local Clues Into Mamba for Remote Sensing Image Binary Change Detection","volume":"63","author":"Zhang","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.ins.2026.123837_bib0195","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."}],"container-title":["Information Sciences"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526007681?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0020025526007681?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,5]],"date-time":"2026-07-05T00:05:02Z","timestamp":1783209902000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0020025526007681"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":39,"alternative-id":["S0020025526007681"],"URL":"https:\/\/doi.org\/10.1016\/j.ins.2026.123837","relation":{},"ISSN":["0020-0255"],"issn-type":[{"value":"0020-0255","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"CSANet: Adaptive all-to-all cross-scale alignment for robust remote sensing change detection","name":"articletitle","label":"Article Title"},{"value":"Information Sciences","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ins.2026.123837","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"123837"}}