{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:06:13Z","timestamp":1756166773854,"version":"3.44.0"},"reference-count":51,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T00:00:00Z","timestamp":1755043200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2022YFC3800704"],"award-info":[{"award-number":["2022YFC3800704"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2023M743586"],"award-info":[{"award-number":["2023M743586"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Innovation Drive Development Special Project of Guangxi","award":["GuikeAA20302022"],"award-info":[{"award-number":["GuikeAA20302022"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41974108"],"award-info":[{"award-number":["41974108"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002367","name":"Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDA19080100"],"award-info":[{"award-number":["XDA19080100"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Research Foundation on Water Resources Allocation Project in the Pearl River Delta","award":["CD88-QT01-2022-0085"],"award-info":[{"award-number":["CD88-QT01-2022-0085"]}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Digital Earth"],"published-print":{"date-parts":[[2025,8,25]]},"DOI":"10.1080\/17538947.2025.2543562","type":"journal-article","created":{"date-parts":[[2025,8,13]],"date-time":"2025-08-13T21:43:12Z","timestamp":1755121392000},"update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":0,"title":["MSM: a scaling-based feature matching algorithm for images with large-scale differences"],"prefix":"10.1080","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-4920-5076","authenticated-orcid":false,"given":"Qifeng","family":"Ge","sequence":"first","affiliation":[{"name":"Chinese Academy of Sciences","place":["Beijing, People\u2019s Republic of China"]},{"name":"International Research Center of Big Data for Sustainable Development Goals","place":["Beijing, People\u2019s Republic of China"]},{"name":"University of Chinese Academy of Sciences","place":["Beijing, People's Republic of China"]}]},{"given":"Xiaoping","family":"Du","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences","place":["Beijing, People\u2019s Republic of China"]},{"name":"International Research Center of Big Data for Sustainable Development Goals","place":["Beijing, People\u2019s Republic of China"]}]},{"given":"Chen","family":"Xu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences","place":["Beijing, People\u2019s Republic of China"]},{"name":"International Research Center of Big Data for Sustainable Development Goals","place":["Beijing, People\u2019s Republic of China"]}]},{"given":"Jianhao","family":"Xu","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences","place":["Beijing, People\u2019s Republic of China"]},{"name":"International Research Center of Big Data for Sustainable Development Goals","place":["Beijing, People\u2019s Republic of China"]},{"name":"University of Chinese Academy of Sciences","place":["Beijing, People's Republic of China"]}]},{"given":"Zhenzhen","family":"Yan","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences","place":["Beijing, People\u2019s Republic of China"]},{"name":"International Research Center of Big Data for Sustainable Development Goals","place":["Beijing, People\u2019s Republic of China"]}]},{"given":"Xiangtao","family":"Fan","sequence":"additional","affiliation":[{"name":"Chinese Academy of Sciences","place":["Beijing, People\u2019s Republic of China"]},{"name":"International Research Center of Big Data for Sustainable Development Goals","place":["Beijing, People\u2019s Republic of China"]}]}],"member":"301","published-online":{"date-parts":[[2025,8,13]]},"reference":[{"key":"e_1_3_5_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248018"},{"key":"e_1_3_5_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.410"},{"key":"e_1_3_5_4_1","doi-asserted-by":"publisher","DOI":"10.5244\/C.30.119"},{"key":"e_1_3_5_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01044"},{"key":"e_1_3_5_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2007.09.014"},{"key":"e_1_3_5_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.302"},{"key":"e_1_3_5_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01280-3"},{"key":"e_1_3_5_9_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2312.02152"},{"key":"e_1_3_5_10_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2505.08013"},{"key":"e_1_3_5_11_1","doi-asserted-by":"crossref","unstructured":"DeTone D. T. Malisiewicz and A. Rabinovich. 2018. \u201cSuperPoint: Self-Supervised Interest Point Detection and Description \u201d Apr. 19 2018 arXiv: arXiv:1712.07629. Accessed April 19 2023. [Online]. http:\/\/arxiv.org\/abs\/1712.07629.","DOI":"10.1109\/CVPRW.2018.00060"},{"key":"e_1_3_5_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00600"},{"key":"e_1_3_5_13_1","doi-asserted-by":"crossref","unstructured":"Dusmanu M. I. Rocco T. Pajdla M. Pollefeys J. Sivic A. Torii and T. Sattler. 2019. \u201cD2-Net: A Trainable CNN for Joint Detection and Description of Local Features \u201d May 09 2019 arXiv: arXiv:1905.03561. Accessed August 18 2023. [Online]. http:\/\/arxiv.org\/abs\/1905.03561.","DOI":"10.1109\/CVPR.2019.00828"},{"key":"e_1_3_5_14_1","unstructured":"Edstedt J. G. B\u00f6kman M. Wadenb\u00e4ck and M. Felsberg. 2023a. \u201cDeDoDe: Detect Don\u2019t Describe \u2013 Describe Don\u2019t Detect for Local Feature Matching \u201d Dec. 11 2023 arXiv: arXiv:2308.08479. Accessed: May 15 2024. [Online]. http:\/\/arxiv.org\/abs\/2308.08479."},{"key":"e_1_3_5_15_1","unstructured":"Edstedt J. Q. Sun G. B\u00f6kman M. Wadenb\u00e4ck and M. Felsberg. 2023b. \u201cRoMa: Robust Dense Feature Matching \u201d Dec. 11 2023 arXiv: arXiv:2305.15404. Accessed: May 15 2024. [Online]. http:\/\/arxiv.org\/abs\/2305.15404."},{"key":"e_1_3_5_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/358669.358692"},{"key":"e_1_3_5_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2012.2197158"},{"key":"e_1_3_5_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298948"},{"key":"e_1_3_5_19_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1804.05312"},{"key":"e_1_3_5_20_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2407.15791"},{"key":"e_1_3_5_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01878"},{"key":"e_1_3_5_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-020-01385-0"},{"key":"e_1_3_5_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2004.1315206"},{"key":"e_1_3_5_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00218"},{"key":"e_1_3_5_25_1","doi-asserted-by":"crossref","unstructured":"Lindenberger P. P.-E. Sarlin and M. Pollefeys. 2023. \u201cLightGlue: Local Feature Matching at Light Speed \u201d Jun. 23 2023 arXiv: arXiv:2306.13643. Accessed Aug. 16 2023. [Online]. http:\/\/arxiv.org\/abs\/2306.13643.","DOI":"10.1109\/ICCV51070.2023.01616"},{"key":"e_1_3_5_26_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_3_5_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00662"},{"key":"e_1_3_5_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-018-1117-z"},{"key":"e_1_3_5_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-005-3848-x"},{"key":"e_1_3_5_30_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1705.10872"},{"key":"e_1_3_5_31_1","doi-asserted-by":"publisher","DOI":"10.5220\/0001787803310340"},{"key":"e_1_3_5_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01705"},{"key":"e_1_3_5_33_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-15558-1_49"},{"key":"e_1_3_5_34_1","doi-asserted-by":"crossref","unstructured":"Potje G. F. Cadar A. Araujo R. Martins and E. R. Nascimento. 2024. \u201cXFeat: Accelerated Features for Lightweight Image Matching \u201d Apr. 29 2024 arXiv: arXiv:2404.19174. Accessed May 15 2024. [Online]. http:\/\/arxiv.org\/abs\/2404.19174.","DOI":"10.1109\/CVPR52733.2024.00259"},{"key":"e_1_3_5_35_1","unstructured":"Revaud J. P. Weinzaepfel C. D. Souza and M. Humenberger. 2019. \u201cR2D2: Repeatable and Reliable Detector and Descriptor \u201d."},{"key":"e_1_3_5_36_1","doi-asserted-by":"crossref","unstructured":"Roessle B. and M. Nie\u00dfner. 2023. \u201cEnd2End Multi-View Feature Matching with Differentiable Pose Optimization \u201d Sep. 11 2023 arXiv: arXiv:2205.01694. Accessed Septemeber 30 2023. [Online]. http:\/\/arxiv.org\/abs\/2205.01694.","DOI":"10.1109\/ICCV51070.2023.00050"},{"key":"e_1_3_5_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126544"},{"key":"e_1_3_5_38_1","doi-asserted-by":"crossref","unstructured":"Sarlin P.-E. D. DeTone T. Malisiewicz and A. Rabinovich. 2020. \u201cSuperGlue: Learning Feature Matching with Graph Neural Networks \u201d Mar. 28 2020 arXiv: arXiv:1911.11763. Accessed April 19 2023. [Online]. http:\/\/arxiv.org\/abs\/1911.11763.","DOI":"10.1109\/CVPR42600.2020.00499"},{"key":"e_1_3_5_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.445"},{"key":"e_1_3_5_40_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2006.05077"},{"key":"e_1_3_5_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2011.103"},{"key":"e_1_3_5_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.04.005"},{"key":"e_1_3_5_43_1","doi-asserted-by":"publisher","DOI":"10.3390\/s24030855"},{"key":"e_1_3_5_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.649"},{"key":"e_1_3_5_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01127"},{"key":"e_1_3_5_46_1","unstructured":"Tyszkiewicz M. J. P. Fua and E. Trulls. 2020. \u201cDISK: Learning Local Features with Policy Gradient \u201d Oct. 27 2020 arXiv: arXiv:2006.13566. Accessed: Nov. 16 2023. [Online]. http:\/\/arxiv.org\/abs\/2006.13566."},{"key":"e_1_3_5_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00737"},{"key":"e_1_3_5_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.01.016"},{"key":"e_1_3_5_49_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-69535-4_25"},{"key":"e_1_3_5_50_1","unstructured":"Zhao X. X. Wu W. Chen P. C. Y. Chen Q. Xu and Z. Li. 2023. \u201cALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation \u201d Apr. 15 2023 arXiv: arXiv:2304.03608. Accessed Dec. 08 2023. [Online]. http:\/\/arxiv.org\/abs\/2304.03608."},{"key":"e_1_3_5_51_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3155927"},{"key":"e_1_3_5_52_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2023.10.021"}],"container-title":["International Journal of Digital Earth"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/17538947.2025.2543562","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T11:25:08Z","timestamp":1756121108000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/17538947.2025.2543562"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,13]]},"references-count":51,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2025,8,25]]}},"alternative-id":["10.1080\/17538947.2025.2543562"],"URL":"https:\/\/doi.org\/10.1080\/17538947.2025.2543562","relation":{},"ISSN":["1753-8947","1753-8955"],"issn-type":[{"type":"print","value":"1753-8947"},{"type":"electronic","value":"1753-8955"}],"subject":[],"published":{"date-parts":[[2025,8,13]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tjde20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tjde20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2025-03-18","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-07-26","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-08-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"2543562"}}