@Article{DutraShimArai:2019:SpMuAp,
author = "Dutra, Andeise Cerqueira and Shimabukuro, Yosio Edemir and Arai,
Egidio",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Linear spectral mixing model applied in images from
PROBA-V-Sensor: a spatial multiresolution approach",
journal = "Ra' e Ga: O Espa{\c{c}}o Geogr{\'a}fico em An{\'a}lise",
year = "2019",
volume = "46",
number = "3",
pages = "48--62",
note = "{7º GeoPantanal - Simp{\'o}sio de Geotecnologias no Pantanal}",
keywords = "Estimated Endmembers, Moderate Spatial Resolution, Linear
Regression, Regional Scale, Pantanal, Endmembers estimados,
Moderada Resolu{\c{c}}{\~a}o Espacial, Regress{\~a}o Linear,
Escala Regional, Pantanal.",
abstract = "The complexity of pixel composition of orbital images has been
commonly referred to the spectral mixture problem. The acquisition
of endmembers (pure pixels) direct from image under study is one
of the most commonly employed approaches. However, it becomes
limited in low or moderate spatial resolutions due to the lower
probability of finding those pixels. In this way, this work
proposes the combined use of images with different spatial
resolutions to estimate the spectral responses of the endmembers
in low spatial resolution image, from the obtained proportions
derived from the spatial higher-resolution images. The proposed
methodology was applied to products provided by PROBA-V satellite
with spatial resolution of 100 m and 1 km in the Pantanal region
of Mato Grosso state. Initially, the fraction images (proportions)
were generated from the 100 m dataset using the endmembers
selected directly in the image, considering the higher probability
of finding pure pixels in such images. Following the spectral
responses of the endmembers in 1 km were estimated by multiple
linear regression, using the proportions of the endmembers in the
pixels derived from 100 m images. For the evaluation, the
endmembers fraction images were compared and field data was used.
These analyses indicated that the spectral responses estimated
allowed to improve the results with regard to error, to
variability, and to the identification of endmembers proportions,
considering that inadequate choice of pixels considered as pure in
low spatial resolution images can affect the quality of the
fraction images for operational use. RESUMO: A complexidade da
composi{\c{c}}{\~a}o de um pixel nas imagens orbitais tem sido
comumente referida ao problema de mistura espectral. A
aquisi{\c{c}}{\~a}o de endmember (pixel puro) a partir da
pr{\'o}pria imagem em estudo {\'e} uma das abordagens mais
comumente empregadas, entretanto, torna-se limitada em sensores de
baixa ou moderada resolu{\c{c}}{\~a}o espacial pela menor
probabilidade de encontrar tais pixels. Dessa maneira, este
trabalho prop{\~o}e o uso combinado de imagens de diferentes
resolu{\c{c}}{\~o}es espaciais para estimar as respostas
espectrais dos endmembers na imagem de baixa resolu{\c{c}}{\~a}o
espacial a partir das propor{\c{c}}{\~o}es obtidas nas imagens
de maior resolu{\c{c}}{\~a}o espacial. O m{\'e}todo proposto
foi aplicado nos produtos fornecidos do minissat{\'e}lite PROBA-V
com resolu{\c{c}}{\~a}o espacial de 100 m e 1 km na regi{\~a}o
do Pantanal Mato Grossense. Inicialmente, as imagens
fra{\c{c}}{\~a}o (propor{\c{c}}{\~o}es) foram geradas para os
dados de 100 m utilizando os endmembers da pr{\'o}pria imagem
considerando a maior probabilidade de encontrar pixels puros
nestas imagens. A seguir, as respostas espectrais dos endmembers
nos dados de 1 km foram estimadas por regress{\~a}o linear
m{\'u}ltipla considerando que as propor{\c{c}}{\~o}es dos
endmembers nos pixels s{\~a}o derivadas das imagens de 100 m.
Para avalia{\c{c}}{\~a}o, foram comparadas as imagens
fra{\c{c}}{\~a}o e utilizados dados de campo. Conclui-se que as
respostas espectrais estimadas permitiram a melhoria dos
resultados no que se refere ao erro, {\`a} variabilidade e {\`a}
identifica{\c{c}}{\~a}o das propor{\c{c}}{\~o}es dos
endmembers, visto que a escolha indevida de pixels considerados
como puros em produtos de baixa resolu{\c{c}}{\~a}o espacial
pode afetar a qualidade das imagens fra{\c{c}}{\~a}o para uso
operacional.",
doi = "10.5380/raega",
url = "http://dx.doi.org/10.5380/raega",
issn = "1516-4136",
language = "en",
targetfile = "dutra_linear.pdf",
urlaccessdate = "29 mar. 2024"
}