@InProceedings{CastroSilvMedeShig:2009:ReImDe,
author = "Castro, Ana Paula Abrantes de and Silva, Jos{\'e} Demisio
Sim{\~o}es da and Medeiros, Felipe Leonardo Lobo and Shiguemori,
Elcio Hideiti",
affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto
Nacional de Pesquisas Espaciais - INPE} and {Instituto de Estudos
Avan{\c{c}}ados - IEAv/CTA} and {Instituto de Estudos
Avan{\c{c}}ados - IEAv/CTA}",
title = "Restaura{\c{c}}{\~a}o de Imagens e detec{\c{c}}{\~a}o
autom{\'a}tica de caracter{\'{\i}}sticas aplicados {\`a}
Navega{\c{c}}{\~a}o A{\'e}rea Aut{\^o}noma",
booktitle = "Anais...",
year = "2009",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "6813--6819",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "image processing, autonomous navigation, UAV, processamento de
imagens, navega{\c{c}}{\~a}o aut{\^o}noma, VANT.",
abstract = "This work has as objective the comparison of different techniques
for image restoration. These techniques are used as pre-processing
for feature detection techniques applied to the problem of
automatic image-based position estimation for UAV's (Unmanned
Aerial Vehicles). This image-based position estimation consists in
a matching problem among images captured by different sensors. The
matching is made with features obtained through the images
captured by a camera coupled to a helicopter and georeference
images of the navigation environment, that are stored in the own
vehicle. Such georeference images are aerial photographs and
images generated by the satellite Ikonos. In this work, the
analyzed techniques for image restoration are: the Inverse Filter;
the Wiener Filter in the frequency domain; the Wiener Filter in
the space domain; the Regularization Filter; the Lucy-Richardson
Filter; the Blind Deconvolution Filter; and the Median Filter. And
the feature detection is accomplished by the Scale Invariant
Feature Transform (SIFT) algorithm. Through analyses of the
results, the importance of the pre-processing by image restoration
is verified, mainly, when images of different sensors are used.
Besides, it is verified that the combination of the image
restoration with the SIFT algorithm decreases the impact of
rotation, translation and scale variations in the problem of image
matching.",
conference-location = "Natal",
conference-year = "25-30 abr. 2009",
isbn = "978-85-17-00044-7",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "dpi.inpe.br/sbsr@80/2008/11.17.22.49.50",
url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.22.49.50",
targetfile = "6813-6819.pdf",
type = "Processamento de Imagens",
urlaccessdate = "03 maio 2024"
}