@InProceedings{MoreiraValeRennFran:2015:EfToSo,
               author = "Moreira, Eder Paulo and Valeriano, M{\'a}rcio de Morisson and 
                         Renn{\'o}, Camilo Daleles and Fran{\c{c}}a, Helena",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Efeito da topografia sobre a classifica{\c{c}}{\~a}o do uso e 
                         cobertura da terra por an{\'a}lise de imagens baseada em 
                         objetos",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4922--4929",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This study evaluates the influence of topography (topographic 
                         effect) on land cover mapping through object-based classification. 
                         Tests were applied on Landsat 5 TM reflective bands, which were 
                         classified in their original form and after corrected for 
                         topography. The study area is located in an agricultural region of 
                         rugged terrain in southeastern Brazil. Slope and aspect data taken 
                         from Topodata, a database refined from SRTM, were used to support 
                         the topographic correction procedures. Image processing included a 
                         co-registration of all data, followed by topographic correction, 
                         which was performed using a semi-empirical method. Original and 
                         corrected images were classified using object-based 
                         classification, composed by the steps of segmentation and of 
                         decision tree classification. Comparisons of classifications were 
                         carried out through their accuracies (kappa and overall accuracy), 
                         decision trees structure and segments (or regions) size. The 
                         results indicate that the topographic effect has influence on all 
                         measures of comparison. After topographic correction, 
                         classification showed higher accuracy, less complex decision tree 
                         (fewer nodes) and larger segments. Differences between the 
                         classification results from original and corrected images occurred 
                         on 26% of the total area. The image classification of the 
                         corrected data showed kappa and overall accuracy 10% higher. It is 
                         recommended that in areas of rugged terrain, topographic 
                         correction should be applied to reduce topographic effect on the 
                         land cover mapping.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "963",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4DDL",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4DDL",
           targetfile = "p0963.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "27 abr. 2024"
}