@InProceedings{AzevedoTachSilv:2015:AvReEf,
author = "Azevedo, Samara Cal{\c{c}}ado de and Tachibana, Vilma Mayumi and
Silva, Erivaldo Ant{\^o}nio da",
title = "Avalia{\c{c}}{\~a}o da redu{\c{c}}{\~a}o do efeito de
sombreamento em imagens multiespectrais de {\'a}reas urbanas
utilizando componentes principais e an{\'a}lise de agrupamento",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "3707--3714",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "Shadows represent a problem for feature extraction in urban areas,
mainly when dealing with high spatial resolution remote sensing
images. This work aims to evaluate one proposed method to remove
shadow effects in multispectral images. Two approaches have been
followed and compared. First, each band was corrected individually
and principal components analysis (PCA) used to reduce high
correlation that exists among images and the quantity to be
processed. In the second approach, the PCA was firstly applied and
corrected after, in order to verify the correction behavior in
transformed data. To alleviate the shadow effects, priori
detection of shadow areas using black top-hat morphological
operator and automatic binarization were done, and then, these
areas were corrected by local histogram matching from
neighborhoods statistics. The method was tested in WorldView-2
multispectral images from S{\~a}o Paulo city, which is one of the
densest urban areas in the world. Experimental results and visual
analysis have shown a decrease in radiometric differences caused
by shadows in both approaches. Also, an increase on distinction
between features that were occluded was observed and proven by
unsupervised classification using k-media. However, further
analysis and references data are necessary to guarantee that the
radiometric value encountered corresponds that associated land
cover. This study can contribute in the future with many
applications such as 3D reconstruction, image matching, object
recognition, etc.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "729",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4C2F",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4C2F",
targetfile = "p0729.pdf",
type = "Processamento de imagens",
urlaccessdate = "2024, Apr. 29"
}