@Article{RempelChDaSiWeCh:2022:RePhVe,
               author = "Rempel, {\'E}rico Luiz and Chertovskih, Roman and Davletshina, 
                         Kamilla R. and Silva, Suzana S. A. and Welsch, Brian T. and Chian, 
                         Abraham Chian Long",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {University 
                         of Porto} and Yandex and {University of Sheffield} and {University 
                         of Wisconsin} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Reconstruction of Photospheric Velocity Fields from Highly 
                         Corrupted Data",
              journal = "Astrophysical Journal",
                 year = "2022",
               volume = "933",
               number = "1",
                pages = "e2",
                month = "July",
             abstract = "The analysis of the photospheric velocity field is essential for 
                         understanding plasma turbulence in the solar surface, which may be 
                         responsible for driving processes such as magnetic reconnection, 
                         flares, wave propagation, particle acceleration, and coronal 
                         heating. Currently, the only available methods to estimate 
                         velocities at the solar photosphere transverse to an observer's 
                         line of sight infer flows from differences in image structure in 
                         successive observations. Due to data noise, algorithms such as 
                         local correlation tracking may lead to a vector field with wide 
                         gaps where no velocity vectors are provided. In this paper, a 
                         novel method for image inpainting of highly corrupted data is 
                         proposed and applied to the restoration of horizontal velocity 
                         fields in the solar photosphere. The restored velocity field 
                         preserves all the vector field components present in the original 
                         field. The method shows robustness when applied to both simulated 
                         and observational data.",
                  doi = "10.3847/1538-4357/ac6fe4",
                  url = "http://dx.doi.org/10.3847/1538-4357/ac6fe4",
                 issn = "0004-637X and 1538-4357",
             language = "en",
           targetfile = "Rempel_2022_ApJ_933_2.pdf",
        urlaccessdate = "06 jun. 2024"
}