@InProceedings{FreitasAdRuShRoSiAr:2009:EsCaÁr,
               author = "Freitas, Ramon Morais de and Adami, Marcos and Rudorff, Bernardo 
                         Friedrich Theodor and Shimabukuro, Yosio Edemir and Rosa, Reinaldo 
                         Roberto and Silva, Jos{\'e} Demisio Sim{\~o}es da and Arcoverde, 
                         Gustavo Felipe Balu{\'e}",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais} and {Instituto 
                         Nacional de Pesquisas Espaciais} and {Instituto Nacional de 
                         Pesquisas Espaciais} and {Instituto Nacional de Pesquisas 
                         Espaciais} and {Instituto Nacional de Pesquisas Espaciais} and 
                         {Instituto Nacional de Pesquisas Espaciais} and {Instituto 
                         Nacional de Pesquisas Espaciais}",
                title = "An{\'a}lise Explorat{\'o}ria de Dados Multi-temporais em 
                         Sensoriamento Remoto Usando Mapas Auto-Organiz{\'a}veis: Um 
                         estudo de caso nas {\'a}reas de convers{\~a}o para o cultivo da 
                         cana-de-a{\c{c}}{\'u}car",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "7797--7804",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, SOM, feature selection.",
             abstract = "This work shows an approach to use Self Organizing Map (SOM) to 
                         feature selection in multitemporal remote sensing data. Optical 
                         images derived from Thematic Mapper bands were used for this 
                         analysis. The objective was to improve and understanding about SOM 
                         operational capabilities for feature selection in remote sensing 
                         data applied to agricultural systems. The study area is the 
                         municipality of the Barretos located in the northern part of Sao 
                         Paulo State. The test site comprises several landscape types such 
                         as citrus, annual croplands fields, pasture and sugarcane with 
                         high land cover conversion rates the last years. Using Landsat TM 
                         multitemporal data and segmentation techniques we generated 1110 
                         samples for the SOM analysis. The visual inspection of Kohonen 
                         maps were used for feature selection. Preliminary results 
                         indicated that there is a temporal dependence between the spectral 
                         bands and the land cover observation over time. We recommneded 
                         that further studies should focus on the correlation of spectral 
                         and texture data using the SOM approach.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.14.18.32",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.14.18.32",
           targetfile = "7797-7804.pdf",
                 type = "T{\'e}cnicas de Classifica{\c{c}}{\~a}o e Minera{\c{c}}{\~a}o 
                         de Dados",
        urlaccessdate = "18 jun. 2024"
}