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@InProceedings{AbeMartRosa:2017:CaStSa,
               author = "Abe, Camila Andrade and Martins, Vitor Souza and Rosa, Eliana 
                         Bertol",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Evaluation of two supervised classification techniques and the 
                         influences of thermal band application on target distinction: a 
                         case study of Santa Catarina Island - Brazil",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "40--47",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Digital image classification is a useful process to characterize 
                         the land cover and the land use by analyzing targets spectral and 
                         spatial patterns. Digital image processing involves a manual or 
                         automatic process for the distinction of targets based on visual 
                         and statistical parameters. This study aimed to analyze the 
                         accuracy of two supervised classifications for OLI/Landsat 8 image 
                         featuring the island of Santa Catarina/Brazil applying two 
                         methods: the pixel-based approach by maximum likelihood 
                         classification with a post-processing step (majority filtering), 
                         and region-based approach by Bhattacharyya classification. Both 
                         classifications were submitted to an accuracy assessment through 
                         the validation of classes (urban, forest, pasture and bare soil, 
                         inland water and sand) based on references obtained from a high 
                         spatial resolution image (RapidEye). The highest agreement between 
                         classified image and the reference was achieved with the 
                         classification applying the region-based approach. This approach 
                         was then applied to evaluate the effects of the application of 
                         thermal band 10 (OLI/Landsat 8) in the classification process. 
                         Results revealed that the pixel-based approach and the 
                         region-based approach presented less accuracy in regions where the 
                         heterogeneity of the land cover is more complex and in addition, 
                         it was also revealed an agreement reduction between the classified 
                         data and the reference when OLI/Landsat 8 band 10 was used.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60068",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS434B",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PS434B",
           targetfile = "60068.pdf",
                 type = "Landsat OLI",
        urlaccessdate = "28 nov. 2020"
}


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