@InProceedings{MarujoMore:2015:ApQuMu,
               author = "Marujo, Rennan de Freitas Bezerra and Moreira, Mauricio Alves",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Application of quadtree and multiresolution segmentation on 
                         rapideye images with and without histogram equalization for coffee 
                         crop classification in Machado municipality (MG) - Brazil",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3090--3096",
         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 paper evaluates the influence of segmentation by 
                         multiresolution and quadtree algorithm on automatic supervised 
                         classification of high spatial resolution satellite images with 
                         and without histogram equalization for crop coffee classification. 
                         The study area was the municipality of Machado (MG) and in this 
                         work were used rapideye images because of its high spatial and 
                         radiometric resolutions. The crop coffee plants because of its 
                         intrinsic characteristics is easily can be confused with savanna 
                         vegetation in automatic classification process because of their 
                         similar spectral response. The use of segmentation techniques 
                         allows the use of shape and texture features, yet the spectral 
                         ones. The study area had two images with two different angle looks 
                         at the same time, which implied in different responses for each 
                         sensor because of the non lambertianity of the objects. For each 
                         class training samples were collected and the thematic result 
                         image was got through the nearest neighbor classifier applied to 
                         its segments. The effects of the histogram equalization were 
                         measured by comparing the classification results with and without 
                         histogram equalization to the reference image classified manually 
                         by trained professional, getting the global and kappa indices. 
                         Also were done a comparison between the results of multiresolution 
                         segmentation and quadtree segmentation. Multiresolution have 
                         produced more adequate segments to the contours of the coffee 
                         plants objects, with homogeneous contents, while quadtree 
                         generated too many segments, not capturing border areas. Histogram 
                         equalization showed itself an important pre-processing step on 
                         image classification process, influencing in the accuracy.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "617",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4BBB",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4BBB",
           targetfile = "p0617.pdf",
                 type = "Classifica{\c{c}}{\~a}o e minera{\c{c}}{\~a}o de dados",
        urlaccessdate = "27 abr. 2024"
}