@InProceedings{CostaCarOliSouArm:2009:DeFiÁr,
               author = "Costa, Malcon do Prado and Carvalho, Luis Marcelo Tavares de and 
                         Oliveira, Luciano Teixeira de and Souza Netto, Gil J{\'u}lio de 
                         and Armando, Douglas Merlim de Souza",
          affiliation = "{Universidade Federal de lavras} and {Universidade Federal de 
                         lavras} and {Universidade Federal de lavras} and {Universidade 
                         Federal de lavras} and {Universidade Federal de lavras}",
                title = "Delimita{\c{c}}{\~a}o de Fitofisionomias em {\'a}reas do Parque 
                         Estadual Verde Grande e da {\'A}rea de Prote{\c{c}}{\~a}o 
                         Ambiental do Lajed{\~a}o (MG) e entorno, com o uso de imagens 
                         Ikonos de alta resolu{\c{c}}{\~a}o e classifica{\c{c}}{\~a}o 
                         orientada a objeto",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "2669--2674",
         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, object oriented classification, physiognomies, 
                         sensoriamento remoto, classifica{\c{c}}{\~a}o orientada a 
                         objeto, fitofisionomias.",
             abstract = "The objective of this work was to apply object-based 
                         classification to map vegetation types in the Parque Estadual 
                         Verde Grande, APA Lajed{\~a}o and surroundings. IKONOS-II images 
                         were input to segmentation algorithms with different scale 
                         parameters generating image objects of different sizes. In the 
                         first segmentation level, general vegetation classes were 
                         distinguished (forests and grass land). The second level within 
                         forest types were discriminated. Before classification, feature 
                         optimization was performed to select important image attributes to 
                         be used in the classification procedure. Classification was 
                         performed using the k-nearest neighbor algorithm. Output classes 
                         were: cerrado, a dec{\'{\i}}duos forest, carrasco, cerrado 
                         field, natural grass land, and bare soil. Object-based image 
                         analysis enabled the processing of the input images and provided 
                         subsidies for landscape ecology analysis.",
  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@80/2008/11.18.12.32",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.18.12.32",
           targetfile = "2669-2674.pdf",
                 type = "Floresta e Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "15 jun. 2024"
}