@InProceedings{GodinhoArMoCaSiSh:2021:CoPoFi,
               author = "Godinho, Cassol Henrique Luis and Arag{\~a}o, Luiz Eduardo 
                         Oliveira e Cruz de and Moraes, Elisabete Caria and Carreiras, 
                         Jo{\~a}o Manuel Brito and Silva, Camila Val{\'e}ria Jesus and 
                         Shimabukuro, Yosio Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {University of Sheffield} and 
                         {Lancaster University} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Comparison of polarimetric filters to retrieve forest biomass",
            booktitle = "Proceedings...",
                 year = "2021",
         organization = "International Geoscience and Remote Sensing Symposium (IGARSS)",
            publisher = "IEEE",
              address = "Breussels",
             keywords = "Amazon, Polarimetry, ALOS/PALSAR, -, 2, Aboveground Biomass, 
                         Speckle.",
             abstract = "There are several polarimetric filters in the literature developed 
                         for the most diverse applications. Here, we present an evaluation 
                         of different filter sizes and types for improving the AGB 
                         estimates in the Brazilian Amazon , varying from none to 21x21 p x 
                         filter size in full polarimetric ALOS/PALSAR - 2. The optimal 
                         window size was chosen by the highest coefficient of determination 
                         ( Rē) between forest AGB and backscattering coefficient ( 
                         \σ0 ). After that, six polarimetric filters were evaluated: 
                         BoxCar, Refined Lee, Improved Sigma Lee, Intensity Driven Adaptive 
                         Neighbourhood (IDAN), Scattering Model -Based (SMB), and Model 
                         -based (MB). The comparison criterion was a set of statistics 
                         aimed at preserving the three basic principles of the filtering 
                         process. The optimal window size was 11 x11 px. The best was 
                         Refined Lee, followed by BoxCar and SMB. The Rē differences in the 
                         filter choice can be up to 15% for retrieving forest AGB.",
  conference-location = "Online",
      conference-year = "12-16 July",
             language = "en",
           targetfile = "godinho_2021.pdf",
        urlaccessdate = "04 jun. 2024"
}