{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T14:15:39Z","timestamp":1780064139202,"version":"3.54.0"},"reference-count":57,"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\/100014717","name":"National Natural Science Foundation of China National Outstanding Youth Science Fund Project","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100014717","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,9]]},"DOI":"10.1016\/j.neucom.2026.133853","type":"journal-article","created":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T07:08:17Z","timestamp":1777964897000},"page":"133853","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Mamba-enhanced local attention network for remote sensing image super-resolution"],"prefix":"10.1016","volume":"692","author":[{"given":"Luoxin","family":"Zhao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7029-8784","authenticated-orcid":false,"given":"Bin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liguo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xudong","family":"Kang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shutao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.133853_bib0005","article-title":"Progressive feature aggregation network for image super-resolution","author":"Zhang","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133853_bib0010","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1109\/TASE.2023.3330704","article-title":"Edge-assisted epipolar transformer for industrial scene reconstruction","volume":"22","author":"Tong","year":"2025","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.neucom.2026.133853_bib0015","first-page":"1","article-title":"Multimodal feature interaction and high-quality pseudolabel generation with self-training for cognitive state detection","author":"Tong","year":"2025","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.neucom.2026.133853_bib0020","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.131944","article-title":"SoFoNO: arbitrary-scale image super-resolution via sobolev Fourier neural operator","volume":"661","author":"Oh","year":"2026","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133853_bib0025","doi-asserted-by":"crossref","first-page":"10761","DOI":"10.1109\/TII.2024.3392270","article-title":"Robust depth estimation based on parallax attention for aerial scene perception","volume":"20","author":"Tong","year":"2024","journal-title":"IEEE Trans. Ind. Inform."},{"key":"10.1016\/j.neucom.2026.133853_bib0030","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.129211","article-title":"Efficient image super resolution via mixed window and dimension interaction","volume":"620","author":"Wang","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133853_bib0035","article-title":"UnCapsTSR: an unsupervised transformer-based image super-resolution approach for capsule endoscopy images","author":"Sarvaiya","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133853_bib0040","series-title":"2024 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","first-page":"61","article-title":"TransCycleGAN: an approach for remote sensing image super-resolution","author":"Zhai","year":"2024"},{"key":"10.1016\/j.neucom.2026.133853_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.132053","article-title":"RNSR: retentive networks for lightweight image super-resolution","volume":"664","author":"Li","year":"2026","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133853_bib0050","first-page":"1","article-title":"Multiscale spatial-spectral attention network for arbitrary-scale hyperspectral image super-resolution","volume":"22","author":"Wang","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133853_bib0055","author":"Rukundo"},{"key":"10.1016\/j.neucom.2026.133853_bib0060","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.jfa.2013.05.001","article-title":"Bilinear interpolation theorems and applications","volume":"265","author":"Masty\u0142o","year":"2013","journal-title":"J. Funct. Anal."},{"key":"10.1016\/j.neucom.2026.133853_bib0065","series-title":"Bicubic Interpolation","author":"Miller","year":"2010"},{"key":"10.1016\/j.neucom.2026.133853_bib0070","series-title":"2020 IEEE Global Humanitarian Technology Conference (GHTC)","first-page":"1","article-title":"Low-cost implementation of bilinear and bicubic image interpolation for real-time image super-resolution","author":"Khaledyan","year":"2020"},{"key":"10.1016\/j.neucom.2026.133853_bib0075","doi-asserted-by":"crossref","first-page":"3376","DOI":"10.1109\/TASE.2025.3546713","article-title":"Neural rendering and flow-assisted unsupervised multi-view stereo for real-time monocular tracking and scene perception","volume":"23","author":"Tong","year":"2026","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"key":"10.1016\/j.neucom.2026.133853_bib0080","first-page":"1","article-title":"Toward real-world remote sensing image super-resolution: a new benchmark and an efficient model","volume":"63","author":"Wang","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0085","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2024.102399","article-title":"Large-scale aerial scene perception based on self-supervised multi-view stereo via cycled generative adversarial network","volume":"109","author":"Tong","year":"2024","journal-title":"Inf. Fusion"},{"key":"10.1016\/j.neucom.2026.133853_bib0090","first-page":"1","article-title":"Lightweight edge-guided super-resolution network for remote sensing images","volume":"63","author":"Wang","year":"2025","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0095","series-title":"2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)","first-page":"1","article-title":"Image super-resolution using convolutional neural network","author":"Charan","year":"2022"},{"key":"10.1016\/j.neucom.2026.133853_bib0100","series-title":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"1","article-title":"Self-convolutional attention-based uncertainty-aware network for single-image super-resolution","author":"Wang","year":"2025"},{"key":"10.1016\/j.neucom.2026.133853_bib0105","series-title":"2021 IEEE\/CVF International Conference on Computer Vision Workshops (ICCVW)","first-page":"1833","article-title":"SwinIR: image restoration using swin transformer","author":"Liang","year":"2021"},{"key":"10.1016\/j.neucom.2026.133853_bib0110","doi-asserted-by":"crossref","first-page":"1302","DOI":"10.1109\/JSTARS.2024.3504865","article-title":"Single-image superresolution for RGB remote sensing imagery via multiscale CNN-transformer feature fusion","volume":"18","author":"Yao","year":"2025","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0115","series-title":"First Conference on Language Modeling","article-title":"Mamba: linear-time sequence modeling with selective state spaces","author":"Gu","year":"2024"},{"key":"10.1016\/j.neucom.2026.133853_bib0120","series-title":"Computer Vision \u2013 ECCV 2024 Workshops","first-page":"12","article-title":"LocalMamba: visual state space model with windowed selective scan","author":"Huang","year":"2025"},{"key":"10.1016\/j.neucom.2026.133853_bib0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.114570","article-title":"Mamba with multi-frequency perception for image super-resolution","volume":"330","author":"Yang","year":"2025","journal-title":"Knowl.-based Syst."},{"key":"10.1016\/j.neucom.2026.133853_bib0130","author":"Ren"},{"key":"10.1016\/j.neucom.2026.133853_bib0135","series-title":"2025 IEEE 38th International Symposium on Computer-Based Medical Systems (CBMS)","first-page":"1","article-title":"Swin transformer applied to breast MRI super-resolution in a cross-cohort dataset","author":"Sousa","year":"2025"},{"key":"10.1016\/j.neucom.2026.133853_bib0140","series-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1646","article-title":"Accurate image super-resolution using very deep convolutional networks","author":"Kim","year":"2016"},{"key":"10.1016\/j.neucom.2026.133853_bib0145","doi-asserted-by":"crossref","first-page":"3861","DOI":"10.1109\/TIP.2025.3578753","article-title":"Structural similarity-inspired unfolding for lightweight image super-resolution","volume":"34","author":"Ni","year":"2025","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133853_bib0150","series-title":"2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","first-page":"1132","article-title":"Enhanced deep residual networks for single image super-resolution","author":"Lim","year":"2017"},{"key":"10.1016\/j.neucom.2026.133853_bib0155","doi-asserted-by":"crossref","first-page":"3779","DOI":"10.1109\/TIP.2025.3577538","article-title":"Reference-based iterative interaction with p2-matching for stereo image super-resolution","volume":"34","author":"Cong","year":"2025","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133853_bib0160","series-title":"European Conference on Computer Vision(ECCV)","article-title":"Image super-resolution using very deep residual channel attention networks","author":"Zhang","year":"2018"},{"key":"10.1016\/j.neucom.2026.133853_bib0165","doi-asserted-by":"crossref","first-page":"5183","DOI":"10.1109\/TGRS.2020.3009918","article-title":"Remote sensing image super-resolution via mixed high-order attention network","volume":"59","author":"Zhang","year":"2021","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0170","first-page":"1","article-title":"Lightweight remote-sensing image super-resolution via attention-based multilevel feature fusion network","volume":"61","author":"Wang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0175","first-page":"3139","article-title":"Pixel-wise attention residual network for super-resolution of optical remote sensing images","volume":"15","author":"Chang","year":"2023","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0180","first-page":"1","article-title":"CSwT-SR: conv-swin transformer for blind remote sensing image super-resolution with amplitude-phase learning and structural detail alternating learning","volume":"62","author":"Hou","year":"2024","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0185","series-title":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"12114","article-title":"CSWin transformer: a general vision transformer backbone with cross-shaped windows","author":"Dong","year":"2021"},{"key":"10.1016\/j.neucom.2026.133853_bib0190","author":"Chen"},{"key":"10.1016\/j.neucom.2026.133853_bib0195","first-page":"1","article-title":"Transformer-based multistage enhancement for remote sensing image super-resolution","volume":"60","author":"Lei","year":"2022","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0200","series-title":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","first-page":"7372","article-title":"A swin transformer-based fusion approach for hyperspectral image super-resolution","author":"Yang","year":"2023"},{"key":"10.1016\/j.neucom.2026.133853_bib0205","author":"Chen"},{"key":"10.1016\/j.neucom.2026.133853_bib0210","series-title":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","first-page":"3159","article-title":"Remote sensing image super-resolution with top-K token selective transformer","author":"Xiao","year":"2024"},{"key":"10.1016\/j.neucom.2026.133853_bib0215","doi-asserted-by":"crossref","first-page":"6367","DOI":"10.1109\/TIP.2024.3489228","article-title":"Efficient swin transformer for remote sensing image super-resolution","volume":"33","author":"Kang","year":"2024","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.neucom.2026.133853_bib0220","first-page":"12747","article-title":"Dynamic unary convolution in transformers","volume":"45","author":"Duan","year":"2023","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"10.1016\/j.neucom.2026.133853_bib0225","doi-asserted-by":"crossref","first-page":"4590","DOI":"10.1007\/s11263-025-02398-3","article-title":"Parameter efficient fine-tuning for multi-modal generative vision models with m\u00f6bius-inspired transformation","volume":"133","author":"Duan","year":"2025","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.neucom.2026.133853_bib0230","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.129488","article-title":"SRMamba-T: exploring the hybrid Mamba-transformer network for single image super-resolution","volume":"624","author":"Liu","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.133853_bib0235","series-title":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","first-page":"1","article-title":"SSRMamba: efficient visual state space model for spectral super-resolution","author":"Li","year":"2025"},{"key":"10.1016\/j.neucom.2026.133853_bib0240","author":"Liu"},{"key":"10.1016\/j.neucom.2026.133853_bib0245","series-title":"European Conference on Computer Vision(ECCV)","article-title":"MambaIR: a simple baseline for image restoration with state-space model","author":"Guo","year":"2024"},{"key":"10.1016\/j.neucom.2026.133853_bib0250","author":"Cheng"},{"key":"10.1016\/j.neucom.2026.133853_bib0255","doi-asserted-by":"crossref","first-page":"1783","DOI":"10.1109\/TMM.2024.3521798","article-title":"Frequency-assisted Mamba for remote sensing image super-resolution","volume":"27","author":"Xiao","year":"2024","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.neucom.2026.133853_bib0260","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/LGRS.2024.3453428","article-title":"MambaFormerSR: a lightweight model for remote-sensing image super-resolution","volume":"21","author":"Zhi","year":"2024","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.neucom.2026.133853_bib0265","series-title":"2025 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"17902","article-title":"CATANet: efficient content-aware token aggregation for lightweight image super-resolution","author":"Liu","year":"2025"},{"key":"10.1016\/j.neucom.2026.133853_bib0270","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 Trans. Geosci. Remote Sens."},{"key":"10.1016\/j.neucom.2026.133853_bib0275","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 Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.neucom.2026.133853_bib0280","doi-asserted-by":"crossref","first-page":"2321","DOI":"10.1109\/LGRS.2015.2475299","article-title":"Deep learning based feature selection for remote sensing scene classification","volume":"12","author":"Zou","year":"2015","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"10.1016\/j.neucom.2026.133853_bib0285","series-title":"Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems","first-page":"270","article-title":"Bag-of-visual-words and spatial extensions for land-use classification","author":"Yang","year":"2010"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226012506?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226012506?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T13:53:24Z","timestamp":1780062804000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226012506"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9]]},"references-count":57,"alternative-id":["S0925231226012506"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133853","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Mamba-enhanced local attention network for remote sensing image super-resolution","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.133853","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"133853"}}