{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T21:19:28Z","timestamp":1776979168898,"version":"3.51.4"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Shanxi Province Science and Technology Major Special Project","award":["202201100401017"],"award-info":[{"award-number":["202201100401017"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1007\/s11760-026-05320-7","type":"journal-article","created":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T18:34:20Z","timestamp":1775759660000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["RMCSNet: A Road Extraction Method Integrating Contextual Information and Swin Transformer"],"prefix":"10.1007","volume":"20","author":[{"given":"Wang","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Congxiang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zehua","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lianghao","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,9]]},"reference":[{"key":"5320_CR1","volume":"112","author":"Z Chen","year":"2022","unstructured":"Chen, Z., Deng, L., Luo, Y., Li, D., Junior, J.M., Gon\u00e7alves, W.N., Nurunnabi, A.A.M., Li, J., Wang, C., Li, D.: Road extraction in remote sensing data: A survey. Int. J. Appl. Earth Obs. Geoinf. 112, 102833 (2022)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"2","key":"5320_CR2","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/s41064-022-00194-z","volume":"90","author":"P Liu","year":"2022","unstructured":"Liu, P., Wang, Q., Yang, G., Li, L., Zhang, H.: Survey of road extraction methods in remote sensing images based on deep learning. PFG-Journal of Photogrammetry, Remote Sensing and Geoinformation Science 90(2), 135\u2013159 (2022)","journal-title":"PFG-Journal of Photogrammetry, Remote Sensing and Geoinformation Science"},{"issue":"5","key":"5320_CR3","doi-asserted-by":"publisher","first-page":"1708","DOI":"10.3390\/s24051708","volume":"24","author":"S Mo","year":"2024","unstructured":"Mo, S., Shi, Y., Yuan, Q., Li, M.: A survey of deep learning road extraction algorithms using high-resolution remote sensing images. Sensors 24(5), 1708 (2024)","journal-title":"Sensors"},{"key":"5320_CR4","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.neucom.2019.11.118","volume":"406","author":"S Hao","year":"2020","unstructured":"Hao, S., Zhou, Y., Guo, Y.: A brief survey on semantic segmentation with deep learning. Neurocomputing 406, 302\u2013321 (2020)","journal-title":"Neurocomputing"},{"key":"5320_CR5","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"1","key":"5320_CR6","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s44196-023-00364-w","volume":"16","author":"H Zhang","year":"2023","unstructured":"Zhang, H., Jiang, Z., Zheng, G., Yao, X.: Semantic segmentation of high-resolution remote sensing images with improved u-net based on transfer learning. International Journal of Computational Intelligence Systems 16(1), 181 (2023)","journal-title":"International Journal of Computational Intelligence Systems"},{"issue":"1","key":"5320_CR7","doi-asserted-by":"publisher","first-page":"27786","DOI":"10.1038\/s41598-025-13236-4","volume":"15","author":"Y Ji","year":"2025","unstructured":"Ji, Y., Shi, W., Lei, J., Ding, J.: Dbrsnet: a dual-branch remote sensing image segmentation model based on feature interaction and multi-scale feature fusion. Sci. Rep. 15(1), 27786 (2025)","journal-title":"Sci. Rep."},{"issue":"5","key":"5320_CR8","doi-asserted-by":"publisher","first-page":"872","DOI":"10.3390\/rs12050872","volume":"12","author":"R Shang","year":"2020","unstructured":"Shang, R., Zhang, J., Jiao, L., Li, Y., Marturi, N., Stolkin, R.: Multi-scale adaptive feature fusion network for semantic segmentation in remote sensing images. Remote Sensing 12(5), 872 (2020)","journal-title":"Remote Sensing"},{"key":"5320_CR9","doi-asserted-by":"crossref","unstructured":"Cao, H., Wang, Y., Chen, J., Jiang, D., Zhang, X., Tian, Q., Wang, M.: Swin-unet: Unet-like pure transformer for medical image segmentation. In: European Conference on Computer Vision, pp. 205\u2013218 (2022). Springer","DOI":"10.1007\/978-3-031-25066-8_9"},{"key":"5320_CR10","first-page":"1","volume":"19","author":"Z Yang","year":"2022","unstructured":"Yang, Z., Zhou, D., Yang, Y., Zhang, J., Chen, Z.: Transroadnet: A novel road extraction method for remote sensing images via combining high-level semantic feature and context. IEEE Geosci. Remote Sens. Lett. 19, 1\u20135 (2022)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"5320_CR11","volume":"113","author":"X Jiang","year":"2022","unstructured":"Jiang, X., Li, Y., Jiang, T., Xie, J., Wu, Y., Cai, Q., Jiang, J., Xu, J., Zhang, H.: Roadformer: Pyramidal deformable vision transformers for road network extraction with remote sensing images. Int. J. Appl. Earth Obs. Geoinf. 113, 102987 (2022)","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"3","key":"5320_CR12","doi-asserted-by":"publisher","first-page":"2403","DOI":"10.1007\/s11760-023-02916-1","volume":"18","author":"KM Kumar","year":"2024","unstructured":"Kumar, K.M.: Roadtransnet: advancing remote sensing road extraction through multi-scale features and contextual information. SIViP 18(3), 2403\u20132412 (2024)","journal-title":"SIViP"},{"key":"5320_CR13","doi-asserted-by":"crossref","unstructured":"Han, D., Pan, X., Han, Y., Song, S., Huang, G.: Flatten transformer: Vision transformer using focused linear attention. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 5961\u20135971 (2023)","DOI":"10.1109\/ICCV51070.2023.00548"},{"key":"5320_CR14","doi-asserted-by":"crossref","unstructured":"Cai, Z., Ding, X., Shen, Q., Cao, X.: Refconv: Reparameterized refocusing convolution for powerful convnets. IEEE Transactions on Neural Networks and Learning Systems (2025)","DOI":"10.1109\/TNNLS.2025.3552654"},{"key":"5320_CR15","first-page":"1","volume":"20","author":"Z Yang","year":"2022","unstructured":"Yang, Z., Zhou, D., Yang, Y., Zhang, J., Chen, Z.: Road extraction from satellite imagery by road context and full-stage feature. IEEE Geosci. Remote Sens. Lett. 20, 1\u20135 (2022)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"5320_CR16","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: Convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-assisted Intervention, pp. 234\u2013241 (2015). Springer","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"5320_CR17","doi-asserted-by":"crossref","unstructured":"Zhou, L., Zhang, C., Wu, M.: D-linknet: Linknet with pretrained encoder and dilated convolution for high resolution satellite imagery road extraction. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 182\u2013186 (2018)","DOI":"10.1109\/CVPRW.2018.00034"},{"key":"5320_CR18","doi-asserted-by":"crossref","unstructured":"Chen, L.-C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H.: Encoder-decoder with atrous separable convolution for semantic image segmentation. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 801\u2013818 (2018)","DOI":"10.1007\/978-3-030-01234-2_49"},{"key":"5320_CR19","first-page":"1","volume":"19","author":"Y Wang","year":"2021","unstructured":"Wang, Y., Seo, J., Jeon, T.: Nl-linknet: Toward lighter but more accurate road extraction with nonlocal operations. IEEE Geosci. Remote Sens. Lett. 19, 1\u20135 (2021)","journal-title":"IEEE Geosci. Remote Sens. Lett."}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-026-05320-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-026-05320-7","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-026-05320-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T20:32:10Z","timestamp":1776976330000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-026-05320-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":19,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,4]]}},"alternative-id":["5320"],"URL":"https:\/\/doi.org\/10.1007\/s11760-026-05320-7","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"value":"1863-1703","type":"print"},{"value":"1863-1711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4]]},"assertion":[{"value":"15 January 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 March 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 March 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 April 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"246"}}