author = "Santos, La{\'{\i}}s Freitas Moreira dos and Souza, Jefferson 
                         Jesus de and Feitosa, Jeremias Vit{\'o}rio Pinto and Moraes, 
                         Douglas Rafael Vidal de and Arraes, Ronise Rafaelle 
                         Mendon{\c{c}}a and Miranda, Magda Val{\'e}ria Corr{\^e}a and 
                         Dias, M{\'{\i}}rian Corr{\^e}a and Luz, Nelton Cavalcante and 
                         Quadros, Camila Barata and Em",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {} and {} and {} and {} and {} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Uso de imagens dos sensores AWiFS e WFI: an{\'a}lise comparativa 
                         para a detec{\c{c}}{\~a}o da Classe Corte Raso na Amaz{\^o}nia 
                         no Projeto DETER ? B",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4961--4968",
         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 = "In order to improve the Amazons near real time deforestation 
                         monitoring, it was released in 2015 the DETER-B Project, which 
                         stands out for using images generated from two different optic 
                         sensors, with spatial resolutions capable to map polygons from 3 
                         ha. The sensors are: the Advanced Wide Field Sensor (AWiFs) of the 
                         Indian satellite Resource-Sat2 and the Wide Field Imager (WFI) of 
                         the CBERS-4 satellite, producing images of 56m and 64m of spatial 
                         resolution, respectively, both with revisit time of 5 days. 
                         However, the two sensors used by DETER-B Project do not have their 
                         bands in the same spectral interval, which causes a significant 
                         visual difference between the RGB composition images. This 
                         difference can possibly lead to incoherencies in the patterns 
                         interpretations of the Projects mapped classes. Hence, this paper 
                         aims to conduct a comparative analysis of the deforestation 
                         patterns detection specifically for the clear cut class in the 
                         images of both sensors, evaluating the results of the Digital 
                         Image Processing resources applied in the images, which are used 
                         to standardize as much as possible the classes detection and 
                         mapping in the images from both sensors. Provided that, it was 
                         possible to extend the discussion of the methodology techniques 
                         developed by the DETER-B Project B in the use of images of sensors 
                         with different characteristics for the same feature.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59992",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM439",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3PSM439",
           targetfile = "59992.pdf",
                 type = "CBERS",
        urlaccessdate = "29 nov. 2020"