@InProceedings{KuxSouz:2013:AnDaSa,
               author = "Kux, Hermann Johann Heinrich and Souza, Ulisses Denache Vieira",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise de dados do sat{\'e}lite WorldView-2 baseada em 
                         objetos, para a classifica{\c{c}}{\~a}o das {\'a}reas de 
                         manguezais em S{\~a}o Luis (MA), Brasil",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "5986--5993",
         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 = "The objective of this paper is to classify different types of 
                         irregular occupation in areas covered by mangroves in S{\~a}o 
                         Luis (Maranh{\~a}o State, Brazil), considering the paradigm OBIA 
                         (Object-based Image Analysis), analyzing WorldView-2 satellite 
                         data with InterIMAGE, a free and open source software for image 
                         analysis. A methodology was proposed to study the main targets of 
                         this area, such as: secondary vegetation (apicum), mangroves, 
                         tidal flats, irregular constructions in tidal areas, paved streets 
                         and different types of condominiums. Initially an image fusion was 
                         made, merging multispectral images with the panchromatic channel 
                         to improve information quality of WorldView-2 data. Following an 
                         ortho-rectification was made, using GCPs obtained during field 
                         survey. The data mining GEODMA software was used to establish the 
                         attributes which characterize the targets of interest. Afterwards 
                         those classes of interest were structured and a knowledge model 
                         was established. The classification using the OBIA paradigm 
                         allowed the discrimination of mangrove areas as well as those 
                         sections occupied irregularly. The use of open source free 
                         software InterIMAGE (for image classification) and GEODMA for the 
                         elaboration of a decision tree allowed a fast classification, from 
                         optimized image attributes. The additional new channels Yellow and 
                         Red Edge at the WorldView-2 sensor system were extremely important 
                         to discriminate the mangrove from other vegetation types.",
  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 = "306",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GCFC",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GCFC",
           targetfile = "p0306.pdf",
                 type = "Informa{\c{c}}{\~a}o Geogr{\'a}fica: Ci{\^e}ncia e Sistemas",
        urlaccessdate = "11 maio 2024"
}