{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T16:02:16Z","timestamp":1776182536052,"version":"3.50.1"},"reference-count":60,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFD1600702-04"],"award-info":[{"award-number":["2023YFD1600702-04"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004763","name":"Natural Science Foundation of Inner Mongolia Autonomous Region","doi-asserted-by":"publisher","award":["2025MS06054"],"award-info":[{"award-number":["2025MS06054"]}],"id":[{"id":"10.13039\/501100004763","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004763","name":"Natural Science Foundation of Inner Mongolia Autonomous Region","doi-asserted-by":"publisher","award":["2025MS06020"],"award-info":[{"award-number":["2025MS06020"]}],"id":[{"id":"10.13039\/501100004763","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.eswa.2026.132254","type":"journal-article","created":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T16:12:59Z","timestamp":1774714379000},"page":"132254","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["ORDiffSR: An effective one-step diffusion network for single remote sensing image super-resolution"],"prefix":"10.1016","volume":"320","author":[{"given":"Ting","family":"Tang","sequence":"first","affiliation":[]},{"given":"Jiangping","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiaoling","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Xiaojing","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Xueliang","family":"Fu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0093-5143","authenticated-orcid":false,"given":"Xin","family":"Pan","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.132254_b0005","doi-asserted-by":"crossref","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","article-title":"A computational approach to edge detection","volume":"6","author":"Canny","year":"1986","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-8"},{"key":"10.1016\/j.eswa.2026.132254_b0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.125157","article-title":"A high-quality self-supervised image denoising method based on SDDW-GAN and CHRNet","volume":"258","author":"Chen","year":"2024","journal-title":"Expert Systems with Applications"},{"issue":"1","key":"10.1016\/j.eswa.2026.132254_b0015","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1109\/LGRS.2010.2055033","article-title":"Satellite image classification via two-layer sparse coding with biased image representation","volume":"8","author":"Dai","year":"2011","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"issue":"2","key":"10.1016\/j.eswa.2026.132254_b0020","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1109\/TPAMI.2015.2439281","article-title":"Image super-resolution using deep convolutional networks","volume":"38","author":"Dong","year":"2016","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.132254_b0025","unstructured":"Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., Uszkoreit, J., & Houlsby, N. (2020). An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. arXiv preprint arXiv:2010.11929."},{"issue":"9","key":"10.1016\/j.eswa.2026.132254_b0030","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1109\/LGRS.2019.2899576","article-title":"Remote sensing single-image superresolution based on a deep compendium model","volume":"16","author":"Haut","year":"2019","journal-title":"IEEE Geoscience and Remote Sensing Letters"},{"key":"10.1016\/j.eswa.2026.132254_b0035","first-page":"30","article-title":"GANs trained by a two time-scale update rule converge to a local nash equilibrium","author":"Heusel","year":"2017","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.132254_b0040","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume":"33","author":"Ho","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.132254_b0045","unstructured":"Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., & Chen, W. (2021). LoRA: Low-Rank Adaptation of Large Language Models. arXiv preprint arXiv:2106.09685."},{"issue":"8","key":"10.1016\/j.eswa.2026.132254_b0050","doi-asserted-by":"crossref","first-page":"2011","DOI":"10.1109\/TPAMI.2019.2913372","article-title":"Squeeze-and-excitation networks","volume":"42","author":"Hu","year":"2020","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.132254_b0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.128853","article-title":"Multi-phase Transformer for remote sensing image super-resolution","volume":"295","author":"Hu","year":"2026","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132254_b0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2025.115050","article-title":"An enhanced feature fusion method for urban functional zone mapping with SDGSAT-1 day-night imagery and multi-dimensional geospatial data","volume":"332","author":"Jiang","year":"2026","journal-title":"Remote Sensing of Environment"},{"key":"10.1016\/j.eswa.2026.132254_b0065","doi-asserted-by":"crossref","unstructured":"Johnson, J., Alahi, A., & Fei-Fei, L. (2016). Perceptual Losses for Real-Time Style Transfer and Super-Resolution. Computer Vision \u2013 ECCV 2016, 9906, 694\u2013711.","DOI":"10.1007\/978-3-319-46475-6_43"},{"key":"10.1016\/j.eswa.2026.132254_b0070","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"5148","article-title":"MUSIQ: Multi-scale image quality transformer","author":"Ke","year":"2021"},{"key":"10.1016\/j.eswa.2026.132254_b0075","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"4681","article-title":"Photo-realistic single image super-resolution using a generative adversarial network","author":"Ledig","year":"2017"},{"key":"10.1016\/j.eswa.2026.132254_b0080","first-page":"1","article-title":"Transformer-based multistage enhancement for remote sensing image super-resolution","volume":"60","author":"Lei","year":"2022","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0085","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.isprsjprs.2019.11.023","article-title":"Object detection in optical remote sensing images: A survey and a new benchmark","volume":"159","author":"Li","year":"2020","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0090","first-page":"1","article-title":"HAM: Hierarchical attention mamba with spatial\u2013frequency fusion for remote sensing image super-resolution","volume":"63","author":"Li","year":"2025","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0095","first-page":"1","article-title":"Single-image super-resolution for remote sensing images using a deep generative adversarial network with local and global attention mechanisms","volume":"60","author":"Li","year":"2022","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"issue":"14","key":"10.1016\/j.eswa.2026.132254_b0100","doi-asserted-by":"crossref","first-page":"5303","DOI":"10.1080\/01431161.2025.2518505","article-title":"MTSR-GAN: Achieving 2.5 m resolution from 10 m Sentinel-2 images with a novel super-resolution GAN framework","volume":"46","author":"Li","year":"2025","journal-title":"International Journal of Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0105","first-page":"1833","article-title":"SwinIR: Image restoration using swin transformer","volume":"2021","author":"Liang","year":"2021","journal-title":"IEEE\/CVF International Conference on Computer Vision Workshops (ICCVW)"},{"key":"10.1016\/j.eswa.2026.132254_b0110","first-page":"1132","article-title":"Enhanced deep residual networks for single image super-resolution","volume":"2017","author":"Lim","year":"2017","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)"},{"key":"10.1016\/j.eswa.2026.132254_b0115","doi-asserted-by":"crossref","first-page":"11117","DOI":"10.1109\/JSTARS.2024.3409808","article-title":"DTCNet: Transformer-CNN distillation for super-resolution of remote sensing image","volume":"17","author":"Lin","year":"2024","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0120","doi-asserted-by":"crossref","unstructured":"Lin, X., He, J., Chen, Z., Lyu, Z., Dai, B., Yu, F., Qiao, Y., Ouyang, W., & Dong, C. (2025). DiffBIR: Toward blind image restoration with generative diffusion prior. Computer Vision \u2013 ECCV 2024, 15117, 430\u2013448.","DOI":"10.1007\/978-3-031-73202-7_25"},{"key":"10.1016\/j.eswa.2026.132254_b0125","unstructured":"Loshchilov, I., & Hutter, F. (2017). Decoupled Weight Decay Regularization. arXiv preprint arXiv:1711.05101."},{"issue":"11","key":"10.1016\/j.eswa.2026.132254_b0130","doi-asserted-by":"crossref","first-page":"7898","DOI":"10.1109\/TPAMI.2021.3114428","article-title":"Structure-preserving image super-resolution","volume":"44","author":"Ma","year":"2022","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"10.1016\/j.eswa.2026.132254_b0135","doi-asserted-by":"crossref","first-page":"92529","DOI":"10.52202\/079017-2938","article-title":"One-step effective diffusion network for real-world image super-resolution","volume":"37","author":"Ma","year":"2024","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.132254_b0140","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"3517","article-title":"Image super-resolution with non-local sparse attention","author":"Mei","year":"2021"},{"issue":"3","key":"10.1016\/j.eswa.2026.132254_b0145","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1109\/LSP.2012.2227726","article-title":"Making a \u201ccompletely blind\u201d image quality analyzer","volume":"20","author":"Mittal","year":"2013","journal-title":"IEEE Signal Processing Letters"},{"key":"10.1016\/j.eswa.2026.132254_b0150","unstructured":"Parmar, G., Park, T., Narasimhan, S., & Zhu, J.-Y. (2024). One-Step Image Translation with Text-to-Image Models. arXiv preprint arXiv:2403.12036."},{"key":"10.1016\/j.eswa.2026.132254_b0155","unstructured":"Podell, D., English, Z., Lacey, K., Blattmann, A., Dockhorn, T., M\u00fcller, J., Penna, J., & Rombach, R. (2023). SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis. arXiv preprint arXiv:2307.01952."},{"key":"10.1016\/j.eswa.2026.132254_b0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.cageo.2024.105790","article-title":"Automatic recognition of debris rock lithology based on unsupervised semantic segmentation","volume":"196","author":"Qin","year":"2025","journal-title":"Computers & Geosciences"},{"key":"10.1016\/j.eswa.2026.132254_b0165","first-page":"10674","article-title":"High-resolution image synthesis with latent diffusion models","volume":"2022","author":"Rombach","year":"2022","journal-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)"},{"key":"10.1016\/j.eswa.2026.132254_b0170","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.130141","article-title":"AI-powered UAV remote sensing for drought stress phenotyping: Automated chlorophyll estimation in individual plants using deep learning and instance segmentation","volume":"299","author":"Shen","year":"2026","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132254_b0175","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.129424","article-title":"DBTSR: A U-shaped adaptive sparse transformer for single remote sensing image super-resolution","volume":"297","author":"Tang","year":"2026","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132254_b0180","first-page":"1","article-title":"RGTGAN: Reference-based gradient-assisted texture-enhancement GAN for remote sensing super-resolution","volume":"62","author":"Tu","year":"2024","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0185","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2024.123489","article-title":"M 4 SFWD: A Multi-Faceted synthetic dataset for remote sensing forest wildfires detection","volume":"248","author":"Wang","year":"2024","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"10.1016\/j.eswa.2026.132254_b0190","doi-asserted-by":"crossref","first-page":"2555","DOI":"10.1609\/aaai.v37i2.25353","article-title":"Exploring CLIP for assessing the look and feel of images","volume":"37","author":"Wang","year":"2023","journal-title":"Proceedings of the AAAI Conference on Artificial Intelligence"},{"key":"10.1016\/j.eswa.2026.132254_b0205","series-title":"Proceedings of the European Conference on Computer Vision (ECCV) Workshops","article-title":"ESRGAN: enhanced super-resolution generative adversarial networks","author":"Wang","year":"2018"},{"key":"10.1016\/j.eswa.2026.132254_b0210","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"25796","article-title":"SinSR: Diffusion-based image super-resolution in a single step","author":"Wang","year":"2024"},{"key":"10.1016\/j.eswa.2026.132254_b0215","first-page":"8406","article-title":"ProlificDreamer: High-fidelity and diverse text-to-3D generation with variational score distillation","volume":"36","author":"Wang","year":"2023","journal-title":"Advances in Neural Information Processing Systems"},{"key":"10.1016\/j.eswa.2026.132254_b0220","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"25456","article-title":"SeeSR: Towards semantics-aware real-world image super-resolution","author":"Wu","year":"2024"},{"key":"10.1016\/j.eswa.2026.132254_b0225","first-page":"3974","article-title":"DOTA: A large-scale dataset for object detection in aerial images","volume":"2018","author":"Xia","year":"2018","journal-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"issue":"7","key":"10.1016\/j.eswa.2026.132254_b0230","doi-asserted-by":"crossref","first-page":"3965","DOI":"10.1109\/TGRS.2017.2685945","article-title":"AID: A benchmark data set for performance evaluation of aerial scene classification","volume":"55","author":"Xia","year":"2017","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0235","first-page":"1","article-title":"EDiffSR: An efficient diffusion probabilistic model for remote sensing image super-resolution","volume":"62","author":"Xiao","year":"2024","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0240","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1109\/TIP.2023.3349004","article-title":"TTST: A Top- k token selective transformer for remote sensing image super-resolution","volume":"33","author":"Xiao","year":"2024","journal-title":"IEEE Transactions on Image Processing"},{"issue":"10","key":"10.1016\/j.eswa.2026.132254_b0245","doi-asserted-by":"crossref","first-page":"2425","DOI":"10.3390\/rs14102425","article-title":"TE-SAGAN: An improved Generative adversarial network for remote sensing super-resolution images","volume":"14","author":"Xu","year":"2022","journal-title":"Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0250","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"5791","article-title":"Learning texture transformer network for image super-resolution","author":"Yang","year":"2020"},{"key":"10.1016\/j.eswa.2026.132254_b0255","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"1191","article-title":"MANIQA: Multi-dimension attention network for no-reference image quality assessment","author":"Yang","year":"2022"},{"key":"10.1016\/j.eswa.2026.132254_b0260","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.129847","article-title":"Prior feature efficient diffusion model for 3D MRI image super-resolution improving brain connectomics analysis","volume":"298","author":"Yao","year":"2026","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132254_b0265","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"6613","article-title":"One-step diffusion with distribution matching distillation","author":"Yin","year":"2024"},{"key":"10.1016\/j.eswa.2026.132254_b0270","doi-asserted-by":"crossref","DOI":"10.1016\/j.ress.2023.109096","article-title":"An integrated multi-head dual sparse self-attention network for remaining useful life prediction","volume":"233","author":"Zhang","year":"2023","journal-title":"Reliability Engineering & System Safety"},{"key":"10.1016\/j.eswa.2026.132254_b0275","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2025.129201","article-title":"Inter-view dual-domain guided stable diffusion for real-world stereo image super-resolution","volume":"296","author":"Zhang","year":"2026","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.132254_b0280","first-page":"1","article-title":"CSCT: Channel\u2013spatial coherent transformer for remote sensing image super-resolution","volume":"63","author":"Zhang","year":"2025","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0285","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision","first-page":"3836","article-title":"Adding Conditional Control to Text-to-image Diffusion Models","author":"Zhang","year":"2023"},{"key":"10.1016\/j.eswa.2026.132254_b0290","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition","first-page":"586","article-title":"The unreasonable effectiveness of deep features as a perceptual metric","author":"Zhang","year":"2018"},{"key":"10.1016\/j.eswa.2026.132254_b0295","series-title":"Proceedings of the European Conference on Computer Vision (ECCV)","first-page":"286","article-title":"Image super-resolution using very deep residual channel attention networks","author":"Zhang","year":"2018"},{"key":"10.1016\/j.eswa.2026.132254_b0300","doi-asserted-by":"crossref","first-page":"24947","DOI":"10.1109\/JSTARS.2025.3610709","article-title":"EESAGAN: Edge-enhanced and structure-aware GAN for remote sensing image super-resolution","volume":"18","author":"Zhang","year":"2025","journal-title":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"},{"key":"10.1016\/j.eswa.2026.132254_b0305","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2025.112577","article-title":"Land-cover prior diffusion probabilistic model for remote sensing image super resolution","volume":"172","author":"Zhang","year":"2026","journal-title":"Pattern Recognition"},{"issue":"8","key":"10.1016\/j.eswa.2026.132254_b0310","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.3390\/rs17081348","article-title":"Taming a diffusion model to revitalize remote sensing image super-resolution","volume":"17","author":"Zhu","year":"2025","journal-title":"Remote Sensing"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095741742601167X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095741742601167X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T15:05:37Z","timestamp":1776179137000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095741742601167X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":60,"alternative-id":["S095741742601167X"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132254","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ORDiffSR: An effective one-step diffusion network for single remote sensing image super-resolution","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.132254","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":"132254"}}