{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:41:34Z","timestamp":1760233294790,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2022,12,26]],"date-time":"2022-12-26T00:00:00Z","timestamp":1672012800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Strategic Priority Research Program of the Chinese Academy of Sciences","award":["XDA14050100","Z181100005718001","ZDZBGCH2018006"],"award-info":[{"award-number":["XDA14050100","Z181100005718001","ZDZBGCH2018006"]}]},{"name":"Beijing Science and Technology Plan \u201cDeep Earth Exploration Technology Breakthrough\u201d special project of China","award":["XDA14050100","Z181100005718001","ZDZBGCH2018006"],"award-info":[{"award-number":["XDA14050100","Z181100005718001","ZDZBGCH2018006"]}]},{"DOI":"10.13039\/501100002367","name":"Scientific Instrument Developing Project of the Chinese Academy of Sciences","doi-asserted-by":"publisher","award":["XDA14050100","Z181100005718001","ZDZBGCH2018006"],"award-info":[{"award-number":["XDA14050100","Z181100005718001","ZDZBGCH2018006"]}],"id":[{"id":"10.13039\/501100002367","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Cooperative inversion is a powerful underground imaging technique that can overcome the limitations of a single detection method. However, due to the different grid divisions used by various geophysical methodologies, imposing structural constraints between grids of different scales is challenging. This paper proposes a new cooperative inversion strategy and applies it to the inversion of the quasi-two-dimensional aerial transient electromagnetic method (ATEM) with the induced polarization (IP) effect and the two-dimensional magnetic method to solve the problem of applying cross-gradient constraints under grids of different scales. The mesh mapping method is incorporated into the iterative process of cooperative inversion in this inversion strategy. The inversion of synthetic data shows that this technique can effectively employ data complementarity to increase the accuracy of the results for describing the medium boundary. The mesh mapping methodology may be applied to the cooperative inversion of geophysical methods under any grid division and successfully solves the problem of grid division mismatch in cooperative inversion.<\/jats:p>","DOI":"10.3390\/rs15010125","type":"journal-article","created":{"date-parts":[[2022,12,27]],"date-time":"2022-12-27T02:53:11Z","timestamp":1672109591000},"page":"125","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Mesh Mapping-Based Cooperative Inversion Strategy for Airborne Transient Electromagnetic and Magnetic Methods"],"prefix":"10.3390","volume":"15","author":[{"given":"Hao","family":"Ren","sequence":"first","affiliation":[{"name":"CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China"},{"name":"Innovation Academy for Earth Science, CAS, Beijing 100029, China"},{"name":"College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9687-894X","authenticated-orcid":false,"given":"Da","family":"Lei","sequence":"additional","affiliation":[{"name":"CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China"},{"name":"Innovation Academy for Earth Science, CAS, Beijing 100029, China"},{"name":"College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Zhongxing","family":"Wang","sequence":"additional","affiliation":[{"name":"CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China"},{"name":"Innovation Academy for Earth Science, CAS, Beijing 100029, China"},{"name":"College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0368-0238","authenticated-orcid":false,"given":"Changmin","family":"Fu","sequence":"additional","affiliation":[{"name":"CAS Engineering Laboratory for Deep Resources Equipment and Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China"},{"name":"Innovation Academy for Earth Science, CAS, Beijing 100029, China"},{"name":"College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,12,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"935","DOI":"10.1007\/s10712-017-9413-7","article-title":"Integrating Electromagnetic Data with Other Geophysical Observations for Enhanced Imaging of the Earth: A Tutorial and Review","volume":"38","author":"Moorkamp","year":"2017","journal-title":"Surv. 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