%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.15.46.26
%2 sid.inpe.br/marte2/2017/10.27.15.46.27
%@isbn 978-85-17-00088-1
%F 59893
%T Comparativo entre os algoritmos K-Means e ckMeans para mapeamento automatizado de uso do solo
%D 2017
%A Gass, Sidnei Luís Bohn,
%A Galafassi, Cristiano,
%A Vargas, Rogério Rodrigues de,
%@electronicmailaddress sidneibohngass@gmail.com
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 6376-6382
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Remote sensing allow us to acquire information about an object or phenomenon without the need to make physical contact with the object, which turn it usable in many fields, like hydrology, ecology, oceanography, glaciology, geology. Remote Sensing generally refers to the use of satellite-based (or aircraft) sensor technologies to detect and classify objects on Earth. Classification is the process of extracting information in images (or data) to recognize patterns and homogeneous objects and are used in remote sensing to map areas of the earth''s surface. This article makes a comparison between two algorithms used in image classification applied to remote sensing. The first one is the well-known K-Means, that has the characteristic to be fast and its modeling is relatively simple, and the second is the fuzzy ckMeans algorithm that allows to model inaccurate data according to their membership degree. The ckMeans algorithm proved to be a good alternative in the image segmentation process. To validate the work we compared the classification of an image, obtained by a satellite, of the western border of the state of Rio Grande do Sul and defined a priori four clusters. Then, the classification between K-Means and ckMeans algorithms was performed. Finally, a domain knowledge specialist discussed the resultant classification obtained by these algorithms.
%9 Processamento de imagens
%@language pt
%3 59893.pdf