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Remote sensing
Multispectral and hyperspectral satellite and aerial image processing and analysis
A Benchmark Linear Unmixing Dataset With Spectral Variability and Ground Truth
X. Haijen
,
Koirala, B.
,
Tao, X.
, and
Scheunders, P.
,
“
A Benchmark Linear Unmixing Dataset With Spectral Variability and Ground Truth
”
, in
2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
, 2025, pp. 1-5.
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Files:
a_benchmark_linear_unmixing_dataset_with_spectral_variability_and_ground_truth.pdf
A Two-Step Linear Mixing Model for Unmixing Under Hyperspectral Variability
X. Haijen
,
Koirala, B.
,
Tao, X.
, and
Scheunders, P.
,
“
A Two-Step Linear Mixing Model for Unmixing Under Hyperspectral Variability
”
, in
IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium
, 2025, pp. 8707-8711.
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Files:
a_two_step_linear_mixing_model_for_unmixing_under_hyperspectral_variability.pdf
Moisture Content Estimation of Heterogenous Porous Stones Using Hyperspectral Imaging
D. Ali Chaghdo
,
Koirala, B.
,
Fontaine, L.
,
De Kock, T.
,
Hayen, R.
, and
Scheunders, P.
,
“
Moisture Content Estimation of Heterogenous Porous Stones Using Hyperspectral Imaging
”
, in
2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
, 2025, pp. 1-5.
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Files:
danish_whispers_2025.pdf
Leaf Water Thickness Estimation from Spectral Reflectance
K. Vinay Jambhali
,
Koirala, B.
, and
Scheunders, P.
,
“
Leaf Water Thickness Estimation from Spectral Reflectance
”
, in
2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
, 2025, pp. 1-5.
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DOI
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Files:
ketaki_whispers.pdf
Estimation of Mortar Brick Composition from Spectral Reflectance
Z. Bnoulkacem
,
Koirala, B.
,
Soubrier, P.
,
Hu, X.
,
Vlaminck, M.
,
Luong, H.
,
Van Den Bossche, N.
, and
Scheunders, P.
,
“
Estimation of Mortar Brick Composition from Spectral Reflectance
”
, in
2025 15th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
, 2025, pp. 1-5.
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DOI
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Files:
zakaria_whispers_2025.pdf
Moisture Content Estimation of Porous Building Stones using Hyperspectral Imaging
D. Ali Chaghdo
,
Koirala, B.
,
Cristina, L.
,
De Kock, T.
,
Fontaine, L.
,
Hayen, R.
, and
Scheunders, P.
,
“
Moisture Content Estimation of Porous Building Stones using Hyperspectral Imaging
”
,
Scientific Data
, vol. 13, p. 102, 2025.
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Files:
moisture_content_estimation_of_porous_building_sto.pdf
Soil Moisture Content Estimation From Hyperspectral Remote Sensing Data
K. Vinay Jambhali
,
Koirala, B.
,
Bnoulkacem, Z.
, and
Scheunders, P.
,
“
Soil Moisture Content Estimation From Hyperspectral Remote Sensing Data
”
,
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
, vol. 18, pp. 22231-22240, 2025.
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Files:
soil_moisture_content_estimation_from_hyperspectral_remote_sensing_data_1_.pdf
A Spectral-Spatial Attention Network for Hyperspectral Unmixing
X. Tao
,
Koirala, B.
,
Rasti, B.
,
Plaza, A.
, and
Scheunders, P.
,
“
A Spectral-Spatial Attention Network for Hyperspectral Unmixing
”
,
IEEE Transactions on Geoscience and Remote Sensing
, vol. 63, pp. 1-15, 2025.
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Files:
assun.pdf
HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network
B. Rasti
,
Koirala, B.
, and
Scheunders, P.
,
“
HapkeCNN: Blind Nonlinear Unmixing for Intimate Mixtures Using Hapke Model and Convolutional Neural Network
”
,
IEEE Transactions on Geoscience and Remote Sensing
, vol. 60, pp. 1-15, 2022.
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Files:
hapkecnnrg.pdf
Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress
M. Shahrimie Asaari
,
Mertens, S.
,
Verbraeken, L.
,
Dhondt, S.
,
Inze, D.
,
Bikram, K.
, and
Scheunders, P.
,
“
Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress
”
,
Computers and Electronics in Agriculture
, vol. 195, p. 106806, 2022.
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Files:
non-destructive_analysis_of_plant_physiological_traits_using_hyperspectral.pdf
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