{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:29:53Z","timestamp":1775579393318,"version":"3.50.1"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"International Research Center of Big Data for Sustainable Development Goals","award":["CBAS2022GSP06"],"award-info":[{"award-number":["CBAS2022GSP06"]}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2022YFF1300202"],"award-info":[{"award-number":["2022YFF1300202"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program","doi-asserted-by":"publisher","award":["2022YFD2300700"],"award-info":[{"award-number":["2022YFD2300700"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["31971575"],"award-info":[{"award-number":["31971575"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32201656"],"award-info":[{"award-number":["32201656"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tgrs.2024.3360489","type":"journal-article","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T18:34:28Z","timestamp":1706726068000},"page":"1-19","source":"Crossref","is-referenced-by-count":9,"title":["TTSR: A Transformer-Based Topography Neural Network for Digital Elevation Model Super-Resolution"],"prefix":"10.1109","volume":"62","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3549-2960","authenticated-orcid":false,"given":"Yi","family":"Wang","sequence":"first","affiliation":[{"name":"School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1150-336X","authenticated-orcid":false,"given":"Shichao","family":"Jin","sequence":"additional","affiliation":[{"name":"Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Collaborative Innovation Centre for Modern Crop Production co-sponsored by Province and Ministry, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2790-8521","authenticated-orcid":false,"given":"Zekun","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0457-7395","authenticated-orcid":false,"given":"Hongcan","family":"Guan","sequence":"additional","affiliation":[{"name":"College of Forestry, Hainan University, Haikou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6042-396X","authenticated-orcid":false,"given":"Yu","family":"Ren","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4006-8854","authenticated-orcid":false,"given":"Kai","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4865-3372","authenticated-orcid":false,"given":"Xiaoqian","family":"Zhao","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Xiaoqiang","family":"Liu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China"}]},{"given":"Mengxi","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0016-2902","authenticated-orcid":false,"given":"Yu","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1065-0838","authenticated-orcid":false,"given":"Qinghua","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Earth and Space Sciences, Institute of Remote Sensing and Geographic Information System, Peking University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","first-page":"H14E-02","article-title":"A DEM-based river tracing algorithm for levee identification","volume-title":"Proc. AGU Fall Meeting","volume":"2022","author":"Zheng"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/BF02826985"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1360\/SSV-2019-0283"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539239"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1029\/93WR03512"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2008.03.010"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/12.2278218"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2011.05.028"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1029\/2005RG000183"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/rs13163106"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/ima.20007"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IWSSIP.2007.4381174"},{"issue":"1","key":"ref13","first-page":"58","article-title":"Accuracy improvements and artifacts removal in edge based image interpolation","volume-title":"Proc. VISAPP","volume":"8","author":"Asuni"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2982166"},{"key":"ref15","first-page":"1","article-title":"Review of image interpolation and super-resolution","volume-title":"Proc. Asia Pacific Signal Inf. Process. Assoc. Annu. Summit Conf.","author":"Siu"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2012.2208977"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.212"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3390462"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2439281"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.151"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01237-3_32"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00210"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1809.00219"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00318"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-archives-XLI-B3-247-2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/s22030745"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s42979-020-00442-2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.rse.2021.112818"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2019.1599122"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2019.1684500"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.182"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01234-2_18"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3152247"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00583"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00986"},{"key":"ref39","article-title":"SwinFIR: Revisiting the SwinIR with fast Fourier convolution and improved training for image super-resolution","author":"Zhang","year":"2022","journal-title":"arXiv:2208.11247"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00119"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02142"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00241"},{"key":"ref43","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.2991\/iccsee.2013.391"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSTARS.2021.3105123"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/lgrs.2022.3224296"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2019.02.008"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2022.04.028"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.3390\/rs15020305"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref52","article-title":"Gaussian error linear units (GELUs)","author":"Hendrycks","year":"2016","journal-title":"arXiv:1606.08415"},{"key":"ref53","first-page":"11863","article-title":"SimAM: A simple, parameter-free attention module for convolutional neural networks","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Yang"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.3414-05.2005"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1126\/science.269.5222.331"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.2307\/3545921"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s100219900021"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00953"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.89"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00475"},{"key":"ref63","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00446"},{"key":"ref65","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"arXiv:1412.6980"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00908"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.3390\/rs13142723"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1145\/3557915.3560980"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.13345"},{"key":"ref70","article-title":"Conv2Former: A simple transformer-style ConvNet for visual recognition","author":"Hou","year":"2022","journal-title":"arXiv:2211.11943"},{"key":"ref71","article-title":"Simplifying transformer blocks","author":"He","year":"2023","journal-title":"arXiv:2311.01906"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.3133\/cir1399"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/10354519\/10418045.pdf?arnumber=10418045","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T04:34:11Z","timestamp":1710390851000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10418045\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":72,"URL":"https:\/\/doi.org\/10.1109\/tgrs.2024.3360489","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}