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This work was supported by the National Natural Science Foundation of China under Grant 42271350 and by the International Partnership Program of the Chinese Academy of Sciences under Grant No.313GJHZ2023066FN. GCV gratefully acknowledges the support from the European Research Council (ERC) through the USMILE project (grant agreement 855187) and the European Commission through the HORIZON projects ELIAS (grant agreement 101120237) and ELLIOT (grant agreement101214398).D. Hong is with the School of Automation, Southeast University, Nanjing 211189, China. (e-mail: danfeng.hong@seu.edu.cn)C. Li is with the School of Mathematics, Southeast University, Nanjing 211189, China. (e-mail: chenyuli.erh@gmail.com)X. Li is with the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China, and the School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China.G. Camps-Valls is with the Image Processing Laboratory (IPL), Universitat de Val猫ncia, Paterna, Val猫ncia 46980, Spain. (e-mail: gustau.camps@uv.es)J. Chanussot is with Univ. Grenoble Alpes, INRIA, CNRS, Grenoble INP, LJK, Grenoble 38000, France. (e-mail: jocelyn.chanussot@grenoble-inp.fr)
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Foundation models are poised to revolutionize remote sensing, but navigating the landscape of unimodal to multimodal approaches requires a clear guide.