%0 Conference Proceedings
%4 dpi.inpe.br/plutao/2013/05.31.18.59.38
%2 dpi.inpe.br/plutao/2013/05.31.18.59.39
%@doi 10.1109/JURSE#.2013.6550720
%@isbn 9781479902132
%F lattes: 1861914973833506 2 AnjosAlmeGalvFons:2013:UrFeEx
%T Urban Feature Extraction on Simulated WorldView-2 Images
%D 2013
%A Anjos, Camila Souza dos,
%A Almeida, Cláudia Maria de,
%A Galvão, Lenio Soares,
%A Fonseca, Leila Maria Garcia,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress
%@electronicmailaddress almeida@dsr.inpe.br
%@electronicmailaddress lenio@ltid.inpe.br
%@electronicmailaddress leila@dpi.inpe.br
%B Joint Urban Remote Sensing Event, (JURSE).
%C São Paulo, SP
%8 21-23 abr., 2013
%I IEEE Geoscience and Remote Sensing Society
%P 284-287
%S Proceedings
%K Air-borne sensors, HyperSpectral, Multi-spectral, Scanner systems, Simulated images, Spectral angle mappers, Urban feature extraction, Worldview-2, Remote sensing, Feature extraction CORRESPONDENCE ADDRESS: National Institute for Space Research, INPE, São José dos Campos, Brazil.
%X This work presents a procedure for simulating the eight multispectral bands of the WorldView-2 satellite by means of bands available in the airborne sensor HSS (Hyperspectral Scanner System). Both the original and simulated images were classified using the SAM (Spectral Angle Mapper) algorithm, aiming to discriminate intra-urban targets, namely: French tiles, asphalt/concrete, steel and aluminum tiles, bare soil, native arborous vegetation, and grass. The simulated images proved to be suitable for the detection of all aforementioned targets.
%@language en
%3 06550720.pdf
%U http://www.inpe.br/jurse2013/proceedings.php
%O Setores de Atividade: Atividades dos serviços de tecnologia da informação, Pesquisa e desenvolvimento científico.