@InProceedings{FerreiraMaraSilv:2017:AvPaEx,
author = "Ferreira, Diogo Luiz and Marambaia, Felipe Gomes and Silva Junior,
Eduardo Jos{\'e} da",
title = "Avalia{\c{c}}{\~a}o do padr{\~a}o de exatid{\~a}o
cartogr{\'a}fica de imagem do sensor Wordview",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4708--4715",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The Brazilian Army through a cooperation agreement with the
National Geospatial-Intelligence Agency began to receive images
from Worldview sensor. But to be able to use this new materials in
the cartographic production it is necessary to evaluate the
geometric quality of this new images and this paper aims to do so.
The first step of the methodological approach is to choose the
correct image, in this paper we choose the image near of Amazon
Stadium because it is easier to measure the GPS points. After that
a set is chosen of point extracted from the image, then go to the
field and perform the measurement of the GPS points, the
processing of the observed data and by last classify the product
by the Cartographic Standard of Accuracy (CAS). The methodology
that defines a statistical analysis of the planimetric accuracy is
composed by the trend and the accuracy analysis. The trend
analysis was accomplished using the Students-t test with the
objective to discover the presence of systematic error in both
Cartesian directions. The accuracy analysis was performed using
the chi-square statistical test, where sample variances were
compared to the standard values pre-established by the Brazilian
Cartographic Accuracy Standards law. After applying the
methodology, it was observed that the Worldview was evaluated
according to the CAS, in class B to cartographic document, for the
scale of 1:5.000 and in class A, for the scale of 1:10.000.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59722",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSM3HU",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM3HU",
targetfile = "59722.pdf",
type = "Cartografia e fotogrametria",
urlaccessdate = "27 abr. 2024"
}