Paul Scheunders
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] , “Non-Destructive Analysis of Plant Physiological Traits Using Hyperspectral Imaging: A Case Study on Drought Stress”, Computers and Electronics in Agriculture, vol. 195, no. 106806, 2022.
1-s2.0-s0168169922001235-main.pdf (5.53 MB)
1-s2.0-s0168169922001235-main.pdf (5.53 MB), “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. non-destructive_analysis_of_plant_physiological_traits_using_hyperspectral.pdf (5.53 MB)
non-destructive_analysis_of_plant_physiological_traits_using_hyperspectral.pdf (5.53 MB), “Quantitative detection of corrosion minerals in carbon steel using shortwave infrared hyperspectral imaging”, RSC Advances, vol. 12, pp. 32775-32783, 2022.
, “A Robust Supervised Method for Estimating Soil Moisture Content From Spectral Reflectance”, IEEE Transactions on Geoscience and Remote Sensing , vol. 60, pp. 1-13, 2022. soil_moisture_content.pdf (7.95 MB)
soil_moisture_content.pdf (7.95 MB), “A Robust Supervised Method to Estimate Chlorophyll Ab Content from Spectral Reflectance”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 326-329. igarss_2022.pdf (238.85 KB)
igarss_2022.pdf (238.85 KB), “Shadow-aware nonlinear spectral unmixing for hyperspectral imagery”, IEEE-JSTARS, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 5514-5533, 2022. shadow-aware_nonlinear_spectral_unmixing_for_hyperspectral_imagery.pdf (9.51 MB)
shadow-aware_nonlinear_spectral_unmixing_for_hyperspectral_imagery.pdf (9.51 MB), “Sparse Unmixing using Deep Convolutional Networks”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 24-27. suncnn_igarss2022.pdf (1.03 MB)
suncnn_igarss2022.pdf (1.03 MB), “Unsupervised Data Fusion with Deeper Perspective: A Novel Multi-Sensor Deep Clustering Algorithm”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , vol. 15, pp. 284-296, 2022. mdc_jstars-final_version.pdf (6.53 MB)
mdc_jstars-final_version.pdf (6.53 MB), “BOOSTING HYPERSPECTRAL IMAGE UNMIXING USING DENOISING: FOUR SCENARIOS”, in IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021.
, “Destriping Hyperspectral Imagery By Adaptive Anisotropic Total Variation And Truncated Nuclear Norm”, in Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021.
, “Hyperspectral and multispectral image fusion using coupled non-negative tucker tensor decomposition”, Remote Sensing, vol. 13, no. 2930, 2021. remotesensing-13-02930.pdf (3.79 MB)
remotesensing-13-02930.pdf (3.79 MB), “Hyperspectral Image Restoration Using Adaptive Anisotropy Total Variation and Nuclear Norms”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 2, pp. 1516-1533, 2021. tgrs_2020.pdf (5.71 MB)
tgrs_2020.pdf (5.71 MB), “A Multi-Sensor Subspace-Based Clustering Algorithm Using RGB and Hyperspectral Data”, in Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021.
, “Robust supervised method for nonlinear spectral unmixing accounting for endmember variability”, IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7434-7448, 2021. ieee_version.pdf (3.76 MB)
ieee_version.pdf (3.76 MB), “Spectral Unmixing Using Deep Convolutional Encoder-Decoder”, in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 3829-3832. igarss2021.pdf (659.27 KB)
igarss2021.pdf (659.27 KB), “UnDIP: hyperspectral unmixing using deep image prior”, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2021. manuscript.pdf (13 MB)
manuscript.pdf (13 MB), “When is the right time to apply denoising?”, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
, “Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm”, Remote Sensing, vol. 12 (23), no. 4007, 2020. remotesensing-12-04007-v2.pdf (21.88 MB)
remotesensing-12-04007-v2.pdf (21.88 MB), “How Hyperspectral Image Unmixing and Denoising Can Boost Each Other”, Remote Sensing, vol. 12, no. 1728, 2020. remotesensing-12-01728.pdf (2.27 MB)
remotesensing-12-01728.pdf (2.27 MB), “A Machine Learning Framework for Estimating Leaf Biochemical Parameters From Its Spectral Reflectance and Transmission Measurements”, IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 10, pp. 7393-7405, 2020. final_version_leaf_parameter_estimation.pdf (2.66 MB)
final_version_leaf_parameter_estimation.pdf (2.66 MB), “Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform”, Computers and Electronics in Agriculture, vol. 162, pp. 749-758, 2019. shahrimie_2019.pdf (3.12 MB)
shahrimie_2019.pdf (3.12 MB), “Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields”, Remote Sensing, vol. 11, 2019. remotesensing-11-00624.pdf (1.5 MB)
remotesensing-11-00624.pdf (1.5 MB), “Fractional abundance estimation of mixed and compound materials by hyperspectral imaging.”, in 10th Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), Sept 2019, Amsterdam, Netherlands, 2019, pp. pp. 1-5. fractional_abundance_estimation_of_mixed_and_compound_materials_by_hyperspectral_imaging.pdf (742.67 KB)
fractional_abundance_estimation_of_mixed_and_compound_materials_by_hyperspectral_imaging.pdf (742.67 KB), “Nonlinear hyperspectral unmixing with graphical models”, IEEE Transaction on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4844-4856, 2019. published.pdf (3.15 MB)
published.pdf (3.15 MB), “A semi-supervised method for Nonlinear Hyperspectral Unmixing”, in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Yokohama, Japan, 2019, 2019, pp. pp. 361-364. bikram_koirala_igarss2019.pdf (325.58 KB)
bikram_koirala_igarss2019.pdf (325.58 KB)