@InProceedings{PereiraMourCent:2017:EsIdÁr,
author = "Pereira, Gabriel Henrique de Almeida and Moura, Pierre and
Centeno, Jorge Antonio Silva",
title = "Estimativa para identifica{\c{c}}{\~a}o de {\'a}reas de pasto
na Amaz{\^o}nia brasileira utilizando processamento de imagens de
radar",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2676--2683",
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 objective of this work is to show an automated method for
determination of deforested areas based on images of Synthetic
Aperture Radar (SAR) airborne, being used in subproject Land
Cartography. This project aims to generate cartographic products
of the area of almost 1.8 million square kilometers called empty
cartographic area from the Legal Amazon region. This project is
also known as Radiography of the Amazon. Due to the large volume
of data generated, a methodology for automatic identification of
deforested areas is critical to the use of these inputs. Image
Processing tools can contribute to the automatic extraction of
information from SAR images, optimizing processing large amounts
of data. The steps to the methodology for identifying areas of
pasture in the Brazilian Amazon are by using low-pass filters,
calculation of variance values of the digital values of pixels in
the image and mathematical morphology. At the end, it is possible
to verify that this methodology can identify deforested areas
intended for farming, since these regions can be characterized by
low values of the variance from the pixels values that represent
it.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "60016",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLR3Q",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLR3Q",
targetfile = "60016.pdf",
type = "Degrada{\c{c}}{\~a}o de florestas",
urlaccessdate = "16 maio 2024"
}