@InProceedings{XaudGolt:2011:ClImRa,
author = "Xaud, Haron Abrahim Magalh{\~a}es and Goltz, Gustavo Augusto
Mascarenhas",
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
Soares",
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/ibi/3ERPFQRTRW/3A6DU55",
targetfile = "p1243.pdf",
type = "Queimadas, Riscos Ambientais e Polui{\c{c}}{\~a}o",
urlaccessdate = "15 jun. 2024"
}