May 2019
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The authors wish to make the following corrections to this paper [...]
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... The ESTARFM not only considers spatial heterogeneity but also accounts for the non-linear characteristics of image element reflectance variation. In regions with high heterogeneity, the algorithm significantly improves fusion accuracy while preserving more detailed spatial information (Yan, Wu, and Wen 2021;Zhang et al. 2019). The applicability of ESTARFM is currently being expanded in various domains, such as urban sprawl, vegetation growth monitoring, and surface temperature inversion, further enhancing its usefulness (Sisheber et al. 2022). ...
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May 2019