@InProceedings{ZanottaFerrZortShim:2014:StApSi,
               author = "Zanotta, Daniel C. and Ferreira, Matheus Pinheiro and Zorte, 
                         Maciel and Shimabukuro, Yosio Edemir",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} 
                         and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "A statistical approach for simultaneous segmentation and 
                         classification",
            booktitle = "Proceedings...",
                 year = "2014",
                pages = "4899 - 4901",
         organization = "IEEE International Geoscience and Remote Sensing Symposium, 
                         (IGARSS 2014).",
            publisher = "IEEE",
             abstract = "This paper presents an alternative object based classification for 
                         multispectral remote sensing images. Instead of classifying the 
                         images after the segmentation process, it is suggested to involve 
                         some steps of objects recognition during the segmentation process 
                         in order to improve the final classification results. The 
                         methodology is based on the statistical distribution of object 
                         classes. Experiments were performed with a TM-Landsat image and 
                         the results were compared with a reference data. The results 
                         indicate the soundness of the proposed methodology.",
  conference-location = "Quebec City",
      conference-year = "13-18 July 2014",
                  doi = "10.1109/IGARSS.2014.6947593",
                  url = "http://dx.doi.org/10.1109/IGARSS.2014.6947593",
                 isbn = "9781479957750",
                label = "lattes: 9686528152912455 2 ZanottaFerrZortShim:2014:StApSi",
             language = "en",
           targetfile = "06947593daniel.pdf",
        urlaccessdate = "27 abr. 2024"
}