@InProceedings{FreitasHaerShim:2007:AnMuMu,
               author = "Freitas, Ramon Morais de and Haertel, Vitor Francisco de 
                         Ara{\'u}jo and Shimabukuro, Yosio Edemir",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Universidade Federal do Rio Grande do Sul (UFRGS)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise multisensor e multiresolu{\c{c}}{\~a}o de imagens 
                         CBERS-2 atrav{\'e}s do modelo linear de mistura espectral",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "895--902",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Pixel mistura, modelo linear de mistura espectral, 
                         resolu{\c{c}}{\~a}o espacial moderada, dados CBERS. Mixture 
                         pixel, Linear Spectral Mixture Model, moderate spatial resolution, 
                         CBERS data.",
             abstract = "The concept of mixed pixel offers a wide range of applications in 
                         the Remote Sensing area. The application of this concept, however, 
                         requires the prior estimation of the components spectral 
                         reflectance in the spectral bands under consideration. In this 
                         study we propose a methodology to estimate the spectral 
                         reflectance for each component class in moderate spatial 
                         resolution image data, by applying the linear mixing model, and 
                         higher spatial resolution image data as auxiliary data. 
                         Experiments were carried out using CCD (20 m ground resolution) 
                         and IRMSS (80 m ground resolution), and WFI (260 m ground 
                         resolution) CBERS-2 image data, as medium and moderate spatial 
                         resolution data, respectively. The spectral reflectances for the 
                         components in the IRMSS and WFI CBERS-2 spectral bands are 
                         estimated by applying the proposed methodology. The reliability of 
                         the proposed methodology was assessed by analyzing scatter plots 
                         for CBERS-2 data and also by comparing the K-means classification 
                         of fraction images produced by image data sets of the sensors 
                         analyzed. This methodology seems to be a useful alternative for 
                         scaling up the information from local to regional and global 
                         scales.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
           copyholder = "SID/SCD",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.15.21.46.40",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.15.21.46.40",
           targetfile = "895-902.pdf",
                 type = "CBERS: Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "09 maio 2024"
}