{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T08:52:05Z","timestamp":1790153525946,"version":"4.0.1"},"reference-count":23,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T00:00:00Z","timestamp":1734393600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2022YFB3902901"],"award-info":[{"award-number":["2022YFB3902901"]}]},{"name":"National Key Research and Development Program of China","award":["42105121"],"award-info":[{"award-number":["42105121"]}]},{"name":"National Natural Science Foundation of China","award":["2022YFB3902901"],"award-info":[{"award-number":["2022YFB3902901"]}]},{"name":"National Natural Science Foundation of China","award":["42105121"],"award-info":[{"award-number":["42105121"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The accurate measurement of high-resolution solar spectral irradiance (SSI) and its variations at the top of the atmosphere is crucial for solar physics, the Earth\u2019s climate, and the in-orbit calibration of optical satellites. However, existing space-based solar spectral irradiance instruments achieve high-precision SSI measurements at the cost of spectral resolution, which falls short of meeting the requirements for identifying fine solar spectral features. Therefore, this paper proposes a new method for reconstructing high-resolution solar spectral irradiance based on a residual channel attention network. This method considers the stability of SSI spectral features and employs residual channel attention blocks to enhance the expression ability of key features, achieving the high-accuracy reconstruction of spectral features. Additionally, to address the issue of excessively large output features from the residual channel attention blocks, a scaling coefficient adjustment network block is introduced to achieve the high-accuracy reconstruction of spectral absolute values. Finally, the proposed method is validated using the measured SSI dataset from SCIAMACHY on Envisat-1 and the simulated dataset from TSIS-1 SIM. The validation results show that, compared to existing scaling coefficient adjustment algorithms, the proposed method achieves single-spectrum super-resolution reconstruction without relying on external data, with a Mean Absolute Percentage Error (MAPE) of 0.0302% for the reconstructed spectra based on the dataset. The proposed method achieves higher-resolution reconstruction results while ensuring the accuracy of SSI.<\/jats:p>","DOI":"10.3390\/rs16244698","type":"journal-article","created":{"date-parts":[[2024,12,17]],"date-time":"2024-12-17T03:46:02Z","timestamp":1734407162000},"page":"4698","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Reconstruction of High-Resolution Solar Spectral Irradiance Based on Residual Channel Attention Networks"],"prefix":"10.3390","volume":"16","author":[{"given":"Peng","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Physical Sciences, University of Science and Technology of China, Hefei 230026, China"},{"name":"Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianwen","family":"Weng","sequence":"additional","affiliation":[{"name":"Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qing","family":"Kang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianjun","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"A69","DOI":"10.1051\/0004-6361\/201016173","article-title":"A new approach to long-term reconstruction of the solar irradiance leads to large historical solar forcing","volume":"529","author":"Shapiro","year":"2011","journal-title":"Astron. Astrophys."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1007\/s11207-013-0381-x","article-title":"Analysis of different solar spectral irradiance reconstructions and their impact on solar heating rates","volume":"289","author":"Thuillier","year":"2014","journal-title":"Sol. Phys."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1175\/1520-0442(2003)016<0426:SAGGFA>2.0.CO;2","article-title":"Solar and greenhouse gas forcing and climate response in the twentieth century","volume":"16","author":"Meehl","year":"2003","journal-title":"J. Clim."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1016\/j.rser.2010.10.018","article-title":"Measurement of total and spectral solar irradiance: Overview of existing research-sciencedirect","volume":"15","author":"Eltbaakh","year":"2011","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Li, F., Jupp, D.L.B., Markham, B.L., Lau, I.C., Ong, C., Byrne, G., Thankappan, M., Oliver, S., Malthus, T., and Fearns, P. (2023). Choice of Solar Spectral Irradiance Model for Current and Future Remote Sensing Satellite Missions. Remote Sens., 15.","DOI":"10.3390\/rs15133391"},{"key":"ref_6","first-page":"367","article-title":"The Traceable Radiometry Underpinning Terrestrial and Helio Studies (TRUTHS) mission","volume":"Volume 9639","author":"Green","year":"2015","journal-title":"Sensors, Systems, and Next-Generation Satellites XIX, Proceedings of the SPIE Remote Sensing, Toulouse, France, 21\u201324 September 2015"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"4258","DOI":"10.1002\/2016JD024770","article-title":"Characterization of the climate absolute radiance and refractivity observatory (CLARREO) ability to serve as an infrared satellite intercalibration reference","volume":"121","author":"Tobin","year":"2016","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Zhang, P., Lu, N., Li, C., Ding, L., and Schmetz, J. (2020). Development of the Chinese space-based radiometric benchmark mission LIBRA. Remote Sens., 12.","DOI":"10.3390\/rs12142179"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Fontenla, J.M., Harder, J., Livingston, W., Snow, M., and Woods, T. (2011). High-resolution solar spectral irradiance from extreme ultraviolet to far infrared. J. Geophys. Res. Atmos., 116.","DOI":"10.1029\/2011JD016032"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1007\/s11207-008-9187-7","article-title":"The high-resolution solar reference spectrum between 250 and 550 nm and its application to measurements with the ozone monitoring instrument","volume":"249","author":"Dobber","year":"2008","journal-title":"Sol. Phys."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"e2020GL091709","DOI":"10.1029\/2020GL091709","article-title":"The TSIS-1 hybrid solar reference spectrum","volume":"48","author":"Coddington","year":"2021","journal-title":"Geophys. Res. Lett."},{"key":"ref_12","unstructured":"Jansson, P.A. (1996). Deconvolution of Images and Spectra, Academic Press, Inc."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"101812","DOI":"10.1016\/j.inffus.2023.101812","article-title":"Spectral super-resolution meets deep learning: Achievements and challenges","volume":"97","author":"He","year":"2023","journal-title":"Inf. Fusion"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1007\/s11207-018-1339-9","article-title":"The new sciamachy reference solar spectral irradiance and its validation","volume":"293","author":"Hilbig","year":"2018","journal-title":"Sol. Phys."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Richard, E., Harber, D., Coddington, O., Drake, G., and Woods, T. (2020). SI-traceable spectral irradiance radiometric characterization and absolute calibration of the TSIS-1 Spectral Irradiance Monitor (SIM). Remote Sens., 12.","DOI":"10.3390\/rs12111818"},{"key":"ref_16","unstructured":"Simonyan, K., and Zisserman, A. (2014). Very deep convolutional networks for large-scale image recognition. arXiv."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., and Sun, J. (2016, January 27\u201330). Deep residual learning for image recognition. Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, USA.","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., and Sun, J. (2015, January 7\u201313). Delving deep into rectifiers: Surpassing human-level performance on imagenet classification. Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), Santiago, Chile.","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G., and Albanie, S. (2018, January 18\u201323). Squeeze-and-excitation networks. Proceedings of the 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, UT, USA.","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref_20","unstructured":"Kingma, D., and Ba, J. (2014). Adam: A method for stochastic optimization. arXiv."},{"key":"ref_21","unstructured":"Yuhas, R.H., Goetz, A.F., and Boardman, J.W. (1992). Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm. JPL, Summaries of the Third Annual JPL Airborne Geoscience Workshop, Pasadena, CA, USA, 1\u20135 June 1992, NASA Jet Propulsion Laboratory (JPL)."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: From error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1002\/col.21822","article-title":"Spectral deconvolution applications for colorimetry","volume":"39","author":"Gardner","year":"2014","journal-title":"Color Res. Appl."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/24\/4698\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:53:31Z","timestamp":1760115211000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/24\/4698"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,17]]},"references-count":23,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["rs16244698"],"URL":"https:\/\/doi.org\/10.3390\/rs16244698","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,17]]}}}