{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:45:26Z","timestamp":1760233526667,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T00:00:00Z","timestamp":1611273600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LY18D060009"],"award-info":[{"award-number":["LY18D060009"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41675035 and  61672466"],"award-info":[{"award-number":["41675035 and  61672466"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Synthetic aperture imaging radiometers (SAIRs) are powerful passive microwave systems for high-resolution imaging by use of synthetic aperture technique. However, the ill-posed inverse problem for SAIRs makes it difficult to reconstruct the high-precision brightness temperature map. The traditional regularization methods add a unique penalty to all the frequency bands of the solution, which may cause the reconstructed result to be too smooth to retain certain features of the original brightness temperature map such as the edge information. In this paper, a multi-parameter regularization method is proposed to reconstruct SAIR brightness temperature distribution. Different from classical single-parameter regularization, the multi-parameter regularization adds multiple different penalties which can exhibit multi-scale characteristics of the original distribution. Multiple regularization parameters are selected by use of the simplified multi-dimensional generalized cross-validation method. The experimental results show that, compared with the conventional total variation, Tikhonov, and band-limited regularization methods, the multi-parameter regularization method can retain more detailed information and better improve the accuracy of the reconstructed brightness temperature distribution, and exhibit superior noise suppression, demonstrating the effectiveness and the robustness of the proposed method.<\/jats:p>","DOI":"10.3390\/rs13030382","type":"journal-article","created":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T11:13:53Z","timestamp":1611314033000},"page":"382","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Multi-Parameter Regularization Method for Synthetic Aperture Imaging Radiometers"],"prefix":"10.3390","volume":"13","author":[{"given":"Xiaocheng","family":"Yang","sequence":"first","affiliation":[{"name":"School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China"}]},{"given":"Zhenyi","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China"}]},{"given":"Jingye","family":"Yan","sequence":"additional","affiliation":[{"name":"National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China"}]},{"given":"Lin","family":"Wu","sequence":"additional","affiliation":[{"name":"National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China"}]},{"given":"Mingfeng","family":"Jiang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,22]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1002\/2013RS005230","article-title":"Microwave Imaging radiometry in remote sensing: An invited historical review","volume":"49","author":"LeVine","year":"2014","journal-title":"Radio Sci."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Reising, S.C., Gaier, T.C., Kummerow, C.D., Padmanabhan, S., and Berg, W. 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