{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:07:46Z","timestamp":1760242066032,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T00:00:00Z","timestamp":1545177600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Vivid main structure and rich texture detail are important factors with which to determine the quality of high-resolution images after super-resolution (SR) reconstruction. Owing to the loss of high-frequency information in the process of SR reconstruction and the limitation of the accurate estimation of the unknown information in the inversion process, a gap still exists between the high-resolution image and the real image. The main structure can better preserve the edge structure of the image, and detail boosting can compensate for the missing high-frequency information in the reconstruction process. Therefore, a novel single remote-sensing image SR reconstruction method based on multilevel main structure and detail boosting (MMSDB-SR) is put forward in this paper. First, the multilevel main structure was obtained based on the decomposition of the remote-sensing image through use of the relative total variation model. Subsequently, multilevel texture detail information was obtained by a difference process. Second, the multilevel main structure and texture detail were reconstructed separately. The detail-boosting function was used to compensate for the missing high-frequency details in the reconstruction process. Finally, the high-resolution remote-sensing image with clear edge and rich texture detail can be obtained by fusing the multilevel main structure and texture-detail information. The experimental results show that the reconstructed high-resolution image has high clarity, high fidelity, and multi-detail visual effects, and the objective evaluation index exhibits significant improvement. Actual results show an average gain in entropy of up to 0.34 dB for an up-scaling of 2. Real results show an average gain in enhancement measure evaluation of up to 2.42 for an up-scaling of 2. The robustness and universality of the proposed SR method are verified.<\/jats:p>","DOI":"10.3390\/rs10122065","type":"journal-article","created":{"date-parts":[[2018,12,19]],"date-time":"2018-12-19T12:12:44Z","timestamp":1545221564000},"page":"2065","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Super-Resolution Reconstruction and Its Application Based on Multilevel Main Structure and Detail Boosting"],"prefix":"10.3390","volume":"10","author":[{"given":"Hong","family":"Zhu","sequence":"first","affiliation":[{"name":"College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China"},{"name":"Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China"}]},{"given":"Xiaoming","family":"Gao","sequence":"additional","affiliation":[{"name":"Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China"},{"name":"Key Laboratory of Satellite Surveying and Mapping Technology and Application, NASG, Beijing 10048, China"},{"name":"School of Geomatics, Liaoning Technical University, Fuxin 123000, China"}]},{"given":"Xinming","family":"Tang","sequence":"additional","affiliation":[{"name":"Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China"},{"name":"Key Laboratory of Satellite Surveying and Mapping Technology and Application, NASG, Beijing 10048, China"},{"name":"School of Earth Science and Engineering, Hohai University, Nanjing 211100, China"}]},{"given":"Junfeng","family":"Xie","sequence":"additional","affiliation":[{"name":"Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China"},{"name":"Key Laboratory of Satellite Surveying and Mapping Technology and Application, NASG, Beijing 10048, China"},{"name":"School of Earth Science and Engineering, Hohai University, Nanjing 211100, China"}]},{"given":"Weidong","family":"Song","sequence":"additional","affiliation":[{"name":"School of Earth Science and Engineering, Hohai University, Nanjing 211100, China"}]},{"given":"Fan","family":"Mo","sequence":"additional","affiliation":[{"name":"Satellite Surveying and Mapping Application Center, NASG, Beijing 100048, China"}]},{"given":"Di","family":"Jia","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Liaoning Technical University, Huludao 125105, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,12,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"B\u00e4tz, M., Koloda, J., Eichenseer, A., and Kaup, A. 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