%0 Conference Proceedings
%4 dpi.inpe.br/plutao/2013/05.31.18.59.56
%2 dpi.inpe.br/plutao/2013/05.31.18.59.57
%@doi 10.1109/JURSE#.2013.655072
%@isbn 978-147990213-2
%F lattes: 1861914973833506 2 LeonardiAlmeFonsTomá:2013:ALDiHe
%T An ALTM digital height model associated with VHR Imagery for an object-based classification of intra-urban targets
%D 2013
%A Leonardi, Fernando,
%A Almeida, Cláudia Maria de,
%A Fonseca, Leila Maria Garcia,
%A Tomás, Lívia Rodrigues,
%@affiliation Geopixel Ltda, São José dos Campos, SP
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress fernando@geopx.com.br
%@electronicmailaddress almeida@dsr.inpe.br
%@electronicmailaddress leila@dpi.inpe.br
%@electronicmailaddress livia@dsr.inpe.br
%B Joint Urban Remote Sensing Event, (JURSE).
%C São Paulo
%8 21-23 abr. 2013
%I IEEE Geoscience and Remote Sensing Society
%P 296-299
%S Proceedings
%K LIDAR, digital elevation models (DEM), IKONOS, object-based image analysis, intra-urban targets.
%X The study of the urban environment has raised great interest among researchers and practitioners involved with the use of remote sensing, in face of the challenges for its investigation, like the fast and ongoing changes of its structure and the complexity of its targets. New concepts and analyses have been used for mapping the urban space. Object-based analysis and multi-resolution segmentation have been quite efficient in the discrimination of urban targets in high spatial resolution images. In this context, this paper proposes a methodology employing cognitive approaches for the classification of land cover in urban areas using optical orbital and airborne laser scanning data. The results were presented and discussed, indicating a satisfactory accuracy in the generated mapping products, demonstrating the reliability of the methodology for mapping urban land cover.
%@language en
%3 fernandoleonardi.pdf
%U http://www.inpe.br/jurse2013/proceedings.php
%O Setores de Atividade: Administração pública, defesa e seguridade social, Atividades dos serviços de tecnologia da informação.