%0 Conference Proceedings
%4 sid.inpe.br/marte2/2015/06.15.15.02.30
%2 sid.inpe.br/marte2/2015/06.15.15.02.31
%@isbn 978-85-17-0076-8
%F 424
%T Avaliação planimétrica de imagens orbitais a partir do PEC e inferências estatísticas
%D 2015
%A Teixeira, Alexandre José Almeida,
%A Barros, Rafael Silva de,
%A Cruz, Carla Bernadete Madureira,
%A Rangel, Rômulo,
%@electronicmailaddress alexandre.teixeira@ibge.gov.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 17 (SBSR)
%C João Pessoa
%8 25-29 abr. 2015
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 2125-2132
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X This paper deeply analyzes the knowledge on key issues in the definition of the most appropriate sensors to reach the expected positional accuracy for a given cartographic scale. The purpose this article is to describe a methodology for positional accuracy assessment of images LANDSAT-8, AVNIR-2 and RapidEeye using statistical inference proposed by Vieira & Genro (2013) . The statistical methods proposed complement conventional analyzes of planimetric accuracy of cartographic documents, such as orthoimages derived from remote sensing. Such statistical methods are intended to identify the existence of tendencies that significantly interfere with standard values specified for the cartographic scales. The positional accuracy assessment requires the appropriate selection of samples to estimate the statistical parameters. For the evaluation of the images a total of 26 test points located in the watershed of the São João river, state of Rio de Janeiro. Position of the test points were compared with its homologues on each image and the differences or errors were analyzed according to Brazilian Accuracy Standards for Cartography (PEC) and according to statistical inference in order to evaluate tendencies and accuracy of the products, like Vieira & Genro (2013). Accuracy varied between the specifications for scales 1:25.000 (class B for images RapidEye) and 1:100.000 (class B for images AVNIR-2).
%9 Cartografia e Fotogrametria
%@language pt
%3 p0424.pdf