author = "Xaud, Haron Abrahim Magalh{\~a}es and Goltz, Gustavo Augusto 
          affiliation = "{Empresa Brasileira de Pesquisas Espaciais  Embrapa Roraima / 
                         Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE}",
                title = "Classifica{\c{c}}{\~a}o de imagens de radar multipolarizadas na 
                         banda L (R99-B) para mapeamento de uso do solo em {\'a}reas 
                         urbanas e periurbanas de S{\~a}o Jos{\'e} dos Campos-SP",
            booktitle = "Anais...",
                 year = "2011",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                pages = "8185--8190",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "synthetic aperture radar, Maximum Likelihood Classification, 
                         Iterated Conditional Modes, texture, radar de abertura 
                         sint{\'e}tica, classifica{\c{c}}{\~a}o MaxVer, 
                         classifica{\c{c}}{\~a}o ICM, textura.",
             abstract = "This paper presents a study of multi-polarized SAR images to 
                         obtain maps of land use in the municipality of S{\~a}o Jos{\'e} 
                         dos Campos-SP, Brazil. Radar data of high resolution may indicate 
                         good opportunity to explore remote sensing images in the spectrum 
                         of the microwaves, which can provide additional and useful 
                         information for studies of urban and periurban areas. The 
                         objective of this paper is to evaluate the use of SAR data (R99-B) 
                         in supervised classification for the discrimination land use in 
                         urban and periurban regions. The methodology included 
                         classification based on pixel to pixel (MLC-Maximum Likelihood 
                         Classification) and contextual approach (ICM- Iterated Conditional 
                         Modes). The input polarized images were HH, HV e VV (amplitude), 
                         including one texture image derived of HH polarization. The 
                         results indicated that, isolated, none of the images could 
                         distinguish enough the land use. These results generated a Kappa 
                         index bellow 0.4. When utilized in pairs the best results were VV 
                         + Texture-HH, with Kappa of 0.52. With three images the best 
                         results were the combination of VV + HV + Texture-HH, with Kappa 
                         0.58. Utilizing all four images the results reached the same Kappa 
                         of 0.58. The ICM algorithm was superior to the MAXVER in all 
                         tested sets of images. The SAR images of the R99-B allowed mapping 
                         land use in the study area with good accuracy.",
  conference-location = "Curitiba",
      conference-year = "30 abr. - 5 maio 2011",
                 isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW/3A6DU55",
                  url = "http://urlib.net/rep/3ERPFQRTRW/3A6DU55",
           targetfile = "p1243.pdf",
                 type = "Queimadas, Riscos Ambientais e Polui{\c{c}}{\~a}o",
        urlaccessdate = "24 jan. 2021"