@InProceedings{FushitaReisFareSant:2013:CoMeUs,
               author = "Fushita, Angela Terumi and Reis, Rodrigo Rufino dos and Faresin, 
                         Luiza and Santos, Jos{\'e} Eduardo dos",
                title = "Desempenho da classifica{\c{c}}{\~a}o supervisionada em 
                         diferentes programas: compara{\c{c}}{\~a}o por meio do uso da 
                         terra e do {\'{\i}}ndice de naturalidade da paisagem",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "6463--6470",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "This paper objectives to evaluate the classification of land use 
                         and occupation among four software (SPRING 5.2, MULTISPEEC, ARCGIS 
                         10 and IDRISI SELVA) for an test area and analyzes the urbanity 
                         index to theses landscapes. For characterization of land use and 
                         occupation was made the rectangle with 684 columns and 556 rows of 
                         the orbital images (Landsat 5 TM, orbit 220, point 75 , bands 3, 4 
                         e 5, pass in August, 18 of 2011). The maximum likelihood 
                         classification (MAXLIKE) to satellite image was processed in 
                         SPRING 5.2, MULTISPEEC, ARCGIS 10 and IDRISI 32. Points for 
                         gauging in field had been showed and analyzed accuracy of the two 
                         maps through the kappa coefficient. The urbanity index (IB) was 
                         made in IDRISI with the land use map. The kappa coefficient (k) 
                         gotten for each material is k spring = 0.53, kmultispeec = 0.49, k 
                         arcgis = 0.51 and k idrisi = 0.41. The higher accuracy and fewer 
                         pixel sampled was obtained SPRING 5.2, so it is not possible to 
                         relate the amount of training area and the mapping accuracy.The 
                         average of IB were IB spring = 0.611; IB multispeec = 0.73; IB 
                         arcgis = 0.41 and IB idrisi = 0.334The ranges of urbanity index 
                         generated from the product of different software shown as the 
                         choice of classification technique, method and program interferes 
                         with the performance of this particular index.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "1601",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GMAE",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GMAE",
           targetfile = "p1601.pdf",
                 type = "Monitoramento e Modelagem Ambiental",
        urlaccessdate = "04 jun. 2024"
}