{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,11]],"date-time":"2025-12-11T07:44:06Z","timestamp":1765439046890,"version":"3.40.5"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T00:00:00Z","timestamp":1743552000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,4,2]],"date-time":"2025-04-02T00:00:00Z","timestamp":1743552000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Liaoning Doctoral Research Start-up Fund Project","award":["2023-BS-078"],"award-info":[{"award-number":["2023-BS-078"]}]},{"name":"Dalian Youth Science and Technology Star Project","award":["2023RQ023"],"award-info":[{"award-number":["2023RQ023"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62402085","61972062"],"award-info":[{"award-number":["62402085","61972062"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Basic Research Project of Liaoning Province","award":["2023JH2\/101300191"],"award-info":[{"award-number":["2023JH2\/101300191"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1007\/s11760-025-04080-0","type":"journal-article","created":{"date-parts":[[2025,4,4]],"date-time":"2025-04-04T12:49:26Z","timestamp":1743770966000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Attention-based multi-image super-resolution reconstruction for remote sensing"],"prefix":"10.1007","volume":"19","author":[{"given":"Xueyan","family":"Ding","sequence":"first","affiliation":[]},{"given":"Wenshan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Bingbing","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Jianxin","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,2]]},"reference":[{"issue":"18","key":"4080_CR1","doi-asserted-by":"publisher","first-page":"20891","DOI":"10.1007\/s10489-023-04566-9","volume":"53","author":"H Yang","year":"2023","unstructured":"Yang, H., Wang, Z., Liu, X., Li, C., Xin, J., Wang, Z.: Deep learning in medical image super resolution: a review. Appl. Intell. 53(18), 20891\u201320916 (2023)","journal-title":"Appl. Intell."},{"issue":"3","key":"4080_CR2","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/s13534-023-00268-w","volume":"13","author":"L Deng","year":"2023","unstructured":"Deng, L., Zhang, Y., Wang, J., Huang, S., Yang, X.: Improving performance of medical image alignment through super-resolution. Biomed. Eng. Lett. 13(3), 397\u2013406 (2023)","journal-title":"Biomed. Eng. Lett."},{"key":"4080_CR3","doi-asserted-by":"crossref","unstructured":"Du, L., Wu, W., Li, C.: Super-resolution-assisted feature refined extraction for small objects in remote sensing images. In: International Conference on Multimedia Modeling, pp. 296\u2013309 (2024). Springer","DOI":"10.1007\/978-3-031-53308-2_22"},{"key":"4080_CR4","doi-asserted-by":"crossref","unstructured":"Xiao, Y., Yuan, Q., Jiang, K., He, J., Lin, C.-W., Zhang, L.: Ttst: A top-k token selective transformer for remote sensing image super-resolution. IEEE Trans. Image Process. (2024)","DOI":"10.1109\/TIP.2023.3349004"},{"issue":"2","key":"4080_CR5","doi-asserted-by":"publisher","first-page":"883","DOI":"10.1007\/s00521-023-09065-z","volume":"36","author":"L Luo","year":"2024","unstructured":"Luo, L., Yi, B., Wang, Z., Yi, P., He, Z.: Efficient lightweight network for video super-resolution. Neural Comput. Appl. 36(2), 883\u2013896 (2024)","journal-title":"Neural Comput. Appl."},{"key":"4080_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2024.3406516","volume":"62","author":"S Wang","year":"2024","unstructured":"Wang, S., Han, B., Yang, L., Zhao, C., Liang, A., Hu, C., Yang, F., Xu, F.: Robust remote sensing super-resolution with frequency domain decoupling for multiscenarios. IEEE Trans. Geosci. Remote Sens. 62, 1\u201313 (2024). https:\/\/doi.org\/10.1109\/TGRS.2024.3406516","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"6","key":"4080_CR7","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1007\/s00138-023-01477-0","volume":"34","author":"B Khan","year":"2023","unstructured":"Khan, B., Mumtaz, A., Zafar, Z., Sedkey, M., Benkhelifa, E., Fraz, M.M.: Cga-net: channel-wise gated attention network for improved super-resolution in remote sensing imagery. Mach. Vis. Appl. 34(6), 128 (2023)","journal-title":"Mach. Vis. Appl."},{"key":"4080_CR8","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1109\/JSTARS.2022.3143532","volume":"15","author":"T An","year":"2022","unstructured":"An, T., Zhang, X., Huo, C., Xue, B., Wang, L., Pan, C.: Tr-misr: multiimage super-resolution based on feature fusion with transformers. IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens. 15, 1373\u20131388 (2022)","journal-title":"IEEE J. Sel. Top. Appl. Earth Observ. Remote Sens."},{"key":"4080_CR9","unstructured":"Li, H., Cheng, L., Liu, J.: A new degradation model and an improved srgan for multi-image super-resolution reconstruction. Imaging Sci. J. 1\u201320 (2024)"},{"key":"4080_CR10","unstructured":"Deudon, M., Kalaitzis, A., Arefin, M.R., Goytom, I., Lin, Z., Sankaran, K., Michalski, V., Kahou, S.E., Cornebise, J., Bengio, Y.: Highres-net: Multi-frame super-resolution by recursive fusion (2019)"},{"issue":"5","key":"4080_CR11","doi-asserted-by":"publisher","first-page":"3644","DOI":"10.1109\/TGRS.2019.2959248","volume":"58","author":"AB Molini","year":"2019","unstructured":"Molini, A.B., Valsesia, D., Fracastoro, G., Magli, E.: Deepsum: Deep neural network for super-resolution of unregistered multitemporal images. IEEE Trans. Geosci. Remote Sens. 58(5), 3644\u20133656 (2019)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"14","key":"4080_CR12","doi-asserted-by":"publisher","first-page":"2207","DOI":"10.3390\/rs12142207","volume":"12","author":"F Salvetti","year":"2020","unstructured":"Salvetti, F., Mazzia, V., Khaliq, A., Chiaberge, M.: Multi-image super resolution of remotely sensed images using residual attention deep neural networks. Remote Sens. 12(14), 2207 (2020)","journal-title":"Remote Sens."},{"key":"4080_CR13","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1007\/s42064-019-0059-8","volume":"3","author":"M M\u00e4rtens","year":"2019","unstructured":"M\u00e4rtens, M., Izzo, D., Krzic, A., Cox, D.: Super-resolution of proba-v images using convolutional neural networks. Astrodynamics 3, 387\u2013402 (2019)","journal-title":"Astrodynamics"},{"key":"4080_CR14","unstructured":"Arefin, M.R., Michalski, V., St-Charles, P.-L., Kalaitzis, A., Kim, S., Kahou, S.E., Bengio, Y.: Multi-image super-resolution for remote sensing using deep recurrent networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 206\u2013207 (2020)"},{"issue":"22","key":"4080_CR15","doi-asserted-by":"publisher","first-page":"3812","DOI":"10.3390\/rs12223812","volume":"12","author":"F Dorr","year":"2020","unstructured":"Dorr, F.: Satellite image multi-frame super resolution using 3d wide-activation neural networks. Remote Sens. 12(22), 3812 (2020)","journal-title":"Remote Sens."},{"issue":"2","key":"4080_CR16","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","volume":"38","author":"C Dong","year":"2015","unstructured":"Dong, C., Loy, C.C., He, K., Tang, X.: Image super-resolution using deep convolutional networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(2), 295\u2013307 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"4080_CR17","doi-asserted-by":"crossref","unstructured":"Lim, B., Son, S., Kim, H., Nah, S., Mu\u00a0Lee, K.: Enhanced deep residual networks for single image super-resolution. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 136\u2013144 (2017)","DOI":"10.1109\/CVPRW.2017.151"},{"key":"4080_CR18","doi-asserted-by":"crossref","unstructured":"Shi, W., Caballero, J., Husz\u00e1r, F., Totz, J., Aitken, A.P., Bishop, R., Rueckert, D., Wang, Z.: Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1874\u20131883 (2016)","DOI":"10.1109\/CVPR.2016.207"},{"key":"4080_CR19","doi-asserted-by":"crossref","unstructured":"Ledig, C., Theis, L., Husz\u00e1r, F., Caballero, J., Cunningham, A., Acosta, A., Aitken, A., Tejani, A., Totz, J., Wang, Z., et al.: Photo-realistic single image super-resolution using a generative adversarial network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4681\u20134690 (2017)","DOI":"10.1109\/CVPR.2017.19"},{"key":"4080_CR20","doi-asserted-by":"crossref","unstructured":"Li, B., Li, X., Zhu, H., Jin, Y., Feng, R., Zhang, Z., Chen, Z.: Sed: Semantic-aware discriminator for image super-resolution. arXiv preprint arXiv:2402.19387 (2024)","DOI":"10.1109\/CVPR52733.2024.02436"},{"key":"4080_CR21","unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, \u0141., Polosukhin, I.: Attention is all you need. Adv. Neural Inf. Process. Syst. 30 (2017)"},{"key":"4080_CR22","doi-asserted-by":"crossref","unstructured":"Liang, J., Cao, J., Sun, G., Zhang, K., Van\u00a0Gool, L., Timofte, R.: Swinir: Image restoration using swin transformer. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 1833\u20131844 (2021)","DOI":"10.1109\/ICCVW54120.2021.00210"},{"issue":"7","key":"4080_CR23","doi-asserted-by":"publisher","first-page":"4590","DOI":"10.1109\/TGRS.2020.2964288","volume":"58","author":"S Mei","year":"2020","unstructured":"Mei, S., Jiang, R., Li, X., Du, Q.: Spatial and spectral joint super-resolution using convolutional neural network. IEEE Trans. Geosci. Remote Sens. 58(7), 4590\u20134603 (2020)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4080_CR24","first-page":"1","volume":"20","author":"C Wang","year":"2023","unstructured":"Wang, C., Zhang, X., Yang, W., Li, X., Lu, B., Wang, J.: Msagan: a new super-resolution algorithm for multispectral remote sensing image based on a multiscale attention gan network. IEEE Geosci. Remote Sens. Lett. 20, 1\u20135 (2023)","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"issue":"3","key":"4080_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s00530-024-01363-3","volume":"30","author":"H Wu","year":"2024","unstructured":"Wu, H., Xu, H., Zhan, T.: A novel spatial and spectral transformer network for hyperspectral image super-resolution. Multimedia Syst. 30(3), 1\u201312 (2024)","journal-title":"Multimedia Syst."},{"key":"4080_CR26","doi-asserted-by":"crossref","unstructured":"Wang, C., Zhang, X., Yang, W., Wang, G., Li, X., Wang, J., Lu, B.: Mswagan: multi-spectral remote sensing image super resolution based on multi-scale window attention transformer. IEEE Trans. Geosci. Remote Sens. (2024)","DOI":"10.1109\/TGRS.2024.3385752"},{"key":"4080_CR27","doi-asserted-by":"crossref","unstructured":"Luo, Z., Li, Y., Cheng, S., Yu, L., Wu, Q., Wen, Z., Fan, H., Sun, J., Liu, S.: Bsrt: Improving burst super-resolution with swin transformer and flow-guided deformable alignment. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 998\u20131008 (2022)","DOI":"10.1109\/CVPRW56347.2022.00113"},{"key":"4080_CR28","doi-asserted-by":"crossref","unstructured":"Wei, P., Sun, Y., Guo, X., Liu, C., Li, G., Chen, J., Ji, X., Lin, L.: Towards real-world burst image super-resolution: Benchmark and method. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13233\u201313242 (2023)","DOI":"10.1109\/ICCV51070.2023.01217"},{"key":"4080_CR29","unstructured":"Bajo, M.: Multi-frame super resolution of unregistered temporal images using WDSR nets (2020)"},{"key":"4080_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2021.3130673","volume":"60","author":"D Valsesia","year":"2021","unstructured":"Valsesia, D., Magli, E.: Permutation invariance and uncertainty in multitemporal image super-resolution. IEEE Trans. Geosci. Remote Sens. 60, 1\u201312 (2021)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"4080_CR31","doi-asserted-by":"crossref","unstructured":"Chen, Y., Dai, X., Liu, M., Chen, D., Yuan, L., Liu, Z.: Dynamic convolution: Attention over convolution kernels. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11030\u201311039 (2020)","DOI":"10.1109\/CVPR42600.2020.01104"},{"key":"4080_CR32","doi-asserted-by":"crossref","unstructured":"Luo, Z., Yu, L., Mo, X., Li, Y., Jia, L., Fan, H., Sun, J., Liu, S.: Ebsr: Feature enhanced burst super-resolution with deformable alignment. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 471\u2013478 (2021)","DOI":"10.1109\/CVPRW53098.2021.00058"},{"key":"4080_CR33","doi-asserted-by":"crossref","unstructured":"Wang, X., Girshick, R., Gupta, A., He, K.: Non-local neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7794\u20137803 (2018)","DOI":"10.1109\/CVPR.2018.00813"},{"key":"4080_CR34","doi-asserted-by":"crossref","unstructured":"Hou, Q., Zhou, D., Feng, J.: Coordinate attention for efficient mobile network design. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 13713\u201313722 (2021)","DOI":"10.1109\/CVPR46437.2021.01350"},{"issue":"10","key":"4080_CR35","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.1109\/TIP.2004.834669","volume":"13","author":"S Farsiu","year":"2004","unstructured":"Farsiu, S., Robinson, M.D., Elad, M., Milanfar, P.: Fast and robust multiframe super resolution. IEEE Trans. Image Process. 13(10), 1327\u20131344 (2004)","journal-title":"IEEE Trans. Image Process."},{"issue":"3","key":"4080_CR36","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/1049-9652(91)90045-L","volume":"53","author":"M Irani","year":"1991","unstructured":"Irani, M., Peleg, S.: Improving resolution by image registration. CVGIP Graph. Models Image Process. 53(3), 231\u2013239 (1991)","journal-title":"CVGIP Graph. Models Image Process."},{"key":"4080_CR37","doi-asserted-by":"crossref","unstructured":"Li, A., Zhang, L., Liu, Y., Zhu, C.: Feature modulation transformer: Cross-refinement of global representation via high-frequency prior for image super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV), pp. 12514\u201312524 (2023)","DOI":"10.1109\/ICCV51070.2023.01150"},{"key":"4080_CR38","doi-asserted-by":"crossref","unstructured":"Zhang, L., Li, Y., Zhou, X., Zhao, X., Gu, S.: Transcending the limit of local window: Advanced super-resolution transformer with adaptive token dictionary. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2856\u20132865 (2024)","DOI":"10.1109\/CVPR52733.2024.00276"},{"key":"4080_CR39","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhang, Y., Gu, J., Kong, L., Yang, X., Yu, F.: Dual aggregation transformer for image super-resolution. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 12312\u201312321 (2023)","DOI":"10.1109\/ICCV51070.2023.01131"},{"key":"4080_CR40","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Li, K., Li, K., Wang, L., Zhong, B., Fu, Y.: Image super-resolution using very deep residual channel attention networks. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 286\u2013301 (2018)","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"4080_CR41","doi-asserted-by":"crossref","unstructured":"Jo, Y., Oh, S.W., Kang, J., Kim, S.J.: Deep video super-resolution network using dynamic upsampling filters without explicit motion compensation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3224\u20133232 (2018)","DOI":"10.1109\/CVPR.2018.00340"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04080-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-04080-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04080-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T10:41:34Z","timestamp":1747651294000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-04080-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,2]]},"references-count":41,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2025,6]]}},"alternative-id":["4080"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-04080-0","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2025,4,2]]},"assertion":[{"value":"18 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 February 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 April 2025","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 Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"455"}}