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Remote sensing
Multispectral and hyperspectral satellite and aerial image processing and analysis
Determination of volumetric abundance of intimate mixture using Bayesian MCMC
F. Schmidt
,
Koirala, B.
, and
Andrieu, F.
,
“
Determination of volumetric abundance of intimate mixture using Bayesian MCMC
”
,
IEEE Sensors Journal
, pp. 1-1, 2024.
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Hyperspectral data fusion for classification and visualization in remote sensing
Z. Mahmood
,
“
Hyperspectral data fusion for classification and visualization in remote sensing
”
, 2013.
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Advances in unmixing of hyperspectral remote sensing imagery
D. Burazerovic
,
“
Advances in unmixing of hyperspectral remote sensing imagery
”
, 2014.
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Subpixel analysis of hyperspectral remote sensing images
A. Muhammad Akhter
,
“
Subpixel analysis of hyperspectral remote sensing images
”
, 2016.
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An efficient method for water content estimation of building materials from spectral reflectance
B. Koirala
and
Scheunders, P.
,
“
An efficient method for water content estimation of building materials from spectral reflectance
”
,
NDT & E International
, vol. 147, p. 103214, 2024.
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Files:
efficient_moisture_content.pdf
Nonlinear Spectral Unmixing Using Bézier Surfaces
B. Koirala
,
Rasti, B.
,
Bnoulkacem, Z.
, and
Scheunders, P.
,
“
Nonlinear Spectral Unmixing Using Bézier Surfaces
”
,
IEEE Transactions on Geoscience and Remote Sensing
, vol. 62, pp. 1-16, 2024.
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Files:
nonlinear_spectral_unmixing_using_bezier_surfaces.pdf
A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures
B. Koirala
,
Rasti, B.
, and
Scheunders, P.
,
“
A Supervised Approach for Estimating Fractional Abundances of Binary Intimate Mixtures
”
,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
, pp. 1-11, 2024.
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Files:
extensive_analysis_of_intimate_mixtures.pdf
Analysis of hyperspectral images for high-throughput plant phenotyping
S. Mohd. Asaari
,
“
Analysis of hyperspectral images for high-throughput plant phenotyping
”
, 2019.
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Development of advanced hyperspectral unmixing methods
B. Koirala
,
“
Development of advanced hyperspectral unmixing methods
”
, 2020.
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Hyperspectral image mixture analysis using notions of sparsity, nonlinearity and decision fusion
V. Andrejchenko
,
“
Hyperspectral image mixture analysis using notions of sparsity, nonlinearity and decision fusion
”
, 2020.
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