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Reference TypeJournal Article
Identifier8JMKD3MGP3W34R/3UCBFDL
Repositorysid.inpe.br/mtc-m21c/2019/11.08.15.57   (restricted access)
Metadatasid.inpe.br/mtc-m21c/2019/11.08.15.57.50
Sitemtc-m21c.sid.inpe.br
DOI10.5380/raega
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Citation KeyDutraShimArai:2019:SpMuAp
Author1 Dutra, Andeise Cerqueira
2 Shimabukuro, Yosio Edemir
3 Arai, Egidio
Resume Identifier1
2 8JMKD3MGP5W/3C9JJCQ
3 8JMKD3MGP5W/3C9JGUP
Group1 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
2 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 andeise.dutra@inpe.br
2 yosio.shimabukuro@inpe.br
3 egidio.arai@inpe.br
TitleLinear spectral mixing model applied in images from PROBA-V-Sensor: a spatial multiresolution approach
JournalRa' e Ga: O Espaço Geográfico em Análise
Year2019
Volume46
Number3
KeywordsEstimated Endmembers, Moderate Spatial Resolution, Linear Regression, Regional Scale, Pantanal, Endmembers estimados, Moderada Resolução Espacial, Regressão Linear, Escala Regional, Pantanal.
AbstractThe 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 composição de um pixel nas imagens orbitais tem sido comumente referida ao problema de mistura espectral. A aquisição de endmember (pixel puro) a partir da própria imagem em estudo é uma das abordagens mais comumente empregadas, entretanto, torna-se limitada em sensores de baixa ou moderada resolução espacial pela menor probabilidade de encontrar tais pixels. Dessa maneira, este trabalho propõe o uso combinado de imagens de diferentes resoluções espaciais para estimar as respostas espectrais dos endmembers na imagem de baixa resolução espacial a partir das proporções obtidas nas imagens de maior resolução espacial. O método proposto foi aplicado nos produtos fornecidos do minissatélite PROBA-V com resolução espacial de 100 m e 1 km na região do Pantanal Mato Grossense. Inicialmente, as imagens fração (proporções) foram geradas para os dados de 100 m utilizando os endmembers da própria 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 regressão linear múltipla considerando que as proporções dos endmembers nos pixels são derivadas das imagens de 100 m. Para avaliação, foram comparadas as imagens fração e utilizados dados de campo. Conclui-se que as respostas espectrais estimadas permitiram a melhoria dos resultados no que se refere ao erro, à variabilidade e à identificação das proporções dos endmembers, visto que a escolha indevida de pixels considerados como puros em produtos de baixa resolução espacial pode afetar a qualidade das imagens fração para uso operacional.
Pages48-62
Notes7º GeoPantanal - Simpósio de Geotecnologias no Pantanal
Languageen
Type of Workconference paper
AreaSRE
Size1221 KiB
Number of Files1
Target Filedutra_linear.pdf
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