Publications

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2025
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.PDF icon a_benchmark_linear_unmixing_dataset_with_spectral_variability_and_ground_truth.pdf (2.62 MB)
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.PDF icon zakaria_whispers_2025.pdf (5.28 MB)
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.PDF icon ketaki_whispers.pdf (1.09 MB)
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.PDF icon danish_whispers_2025.pdf (678.02 KB)
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.PDF icon a_two_step_linear_mixing_model_for_unmixing_under_hyperspectral_variability.pdf (1.11 MB)
2024
D. Gökbel Keklikoğlu, Francken, N., Huyge, B., Merdan, Z., De Beenhouwer, J., and Sijbers, J., “Dynamic flat field correction in edge illumination imaging”, in SPIE Developments in X-Ray Tomography XV, 2024, vol. 13152.
D. Ali Chaghdo, Koirala, B., Cristina, L., Hayen, R., and Scheunders, P., “Exploring the Potential of Hyperspectral Imaging to Estimate the Moisture Content in Natural and Historical Stones”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon exploring_the_potential_of_hyperspectral_imaging_to_estimate_the_moisture_content_in_natural_and_historical_stones.pdf (1.81 MB)
Z. Bnoulkacem, Koirala, B., and Scheunders, P., “Improving Spectral Unmixing Performance by Frequency Component Reduction”, in 2024 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2024, pp. 1-5.PDF icon improving_spectral_unmixing_performance_by_frequency_component_reduction.pdf (582.17 KB)
2023
B. Koirala, Das, S., Rasti, B., Ghamisi, P., Gloaguen, R., and Scheunders, P., “Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon critical_comparison.pdf (1002.06 KB)
Z. Bnoulkacem, Vlaminck, M., Morocho, G. Raimundo L., Zivariadab, H., Zahiri, Z., Koirala, B., Platisa, L., Luong, H., Scheunders, P., Mangialetto, F., and Bufi, I., “Corrosion detection using hyperspectral VNIR and SWIR imaging for drone-based inspection of electrical pylons”, in EUROCORR 2023, European Corrosion Congress, Proceedings, 2023, p. 2.PDF icon exhibit_17_corrosion_detection_using_hyperspectral_vnir_and_swir_imaging.pdf (138.17 KB)
M. Yosifov, Weinberger, P., Reiter, M., Fröhler, B., De Beenhouwer, J., Sijbers, J., Kastner, J., and Heinzl, C., “Defect detectability analysis via Probability of defect detection between traditional and deep learning methods in numerical simulations”, in e-Journal of Nondestructive Testing, 2023, vol. 28, no. 3.PDF icon Download paper (2.37 MB)
M. Vlaminck, Bnoulkacem, Z., Luzardo, G., Zivariadab, H., Zahiri, Z., Koirala, B., Mangialetto, F., Bufi, I., Platisa, L., Jayapala, M., Scheunders, P., and Luong, H., “Drone-Based Corrosion Detection on High-Voltage Transmission Towers Using Hyperspectral Imaging”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon whispers2023.pdf (10.52 MB)
B. Koirala, Rasti, B., Bnoulkacem, Z., Ribeiro, A. De Lima, Madriz, Y., Herrmann, E., Gestels, A., De Kerf, T., Janssens, K., Steenackers, G., Gloaguen, R., and Scheunders, P., “An Extensive Multisensor Hyperspectral Benchmark Datasets of Intimate Mixtures of Mineral Powders”, in IEEE International Geoscience and Remote Sensing Symposium, 2023, pp. 5890-5893.PDF icon igarss_2022_1.pdf (1001.3 KB)
K. Vinay Jambhali, Koirala, B., Bnoulkacem, Z., and Scheunders, P., “Soil Moisture Content Estimation from Hyperspectral Remote Sensing Data”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon soil_ketaki.pdf (580.15 KB)
B. Koirala, Rasti, B., Bnoulkacem, Z., and Scheunders, P., “Unmixing Intimate Mixtures Using Bézier Surfaces”, in 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2023, pp. 1-5.PDF icon bezier.pdf (605.24 KB)
2022
B. Rasti and Koirala, B., “Blind Nonlinear Unmixing For Intimate Mixtures Using Hapke Model And CNN”, in Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2022, pp. 1-5.PDF icon whispers_2022_hapkecnn.pdf (1.93 MB)
B. Rasti, Koirala, B., Scheunders, P., and Chanussot, J., “Deep Blind Unmixing using Minimum Simplex Convolutional Network”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 28-31.PDF icon misicnet_igarss2022.pdf (1.29 MB)
B. Koirala and Scheunders, P., “A Robust Supervised Method to Estimate Chlorophyll Ab Content from Spectral Reflectance”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 326-329.PDF icon igarss_2022.pdf (238.85 KB)
B. Rasti, Koirala, B., and Scheunders, P., “Sparse Unmixing using Deep Convolutional Networks”, in IEEE International Geoscience and Remote Sensing Symposium, 2022, pp. 24-27.PDF icon suncnn_igarss2022.pdf (1.03 MB)
2021
B. Rasti, Koirala, B., Scheunders, P., Ghamisi, P., and Gloaguen, R., “BOOSTING HYPERSPECTRAL IMAGE UNMIXING USING DENOISING: FOUR SCENARIOS”, in IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021.
B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., “Spectral Unmixing Using Deep Convolutional Encoder-Decoder”, in 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 3829-3832.PDF icon igarss2021.pdf (659.27 KB)
2020
B. Auer, Kalluri, K., Abayazeed, A. H., De Beenhouwer, J., Zeraatkar, N., Lindsay, C., Momsen, N., R. Richards, G., May, M., Kupinski, M. A., Kuo, P. H., Furenlid, L. R., and King, M. A., “Aperture size selection for improved brain tumor detection and quantification in multi-pinhole 123I-CLINDE SPECT imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, USA (2020), 2020.
B. Auer, Kalluri, K., Abayazeed, A. H., De Beenhouwer, J., Zeraatkar, N., Lindsay, C., Momsen, N., R. Richards, G., May, M., Kupinski, M. A., Kuo, P. H., Furenlid, L. R., and King, M. A., “Aperture size selection for improved brain tumor detection and quantification in multi-pinhole 123I-CLINDE SPECT imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, USA (2020), 2020.
B. Auer, Kalluri, K., Abayazeed, A. H., De Beenhouwer, J., Zeraatkar, N., Lindsay, C., Momsen, N., R. Richards, G., May, M., Kupinski, M. A., Kuo, P. H., Furenlid, L. R., and King, M. A., “Aperture size selection for improved brain tumor detection and quantification in multi-pinhole 123I-CLINDE SPECT imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, USA (2020), 2020.
B. Auer, Kalluri, K., Abayazeed, A. H., De Beenhouwer, J., Zeraatkar, N., Lindsay, C., Momsen, N., R. Richards, G., May, M., Kupinski, M. A., Kuo, P. H., Furenlid, L. R., and King, M. A., “Aperture size selection for improved brain tumor detection and quantification in multi-pinhole 123I-CLINDE SPECT imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, USA (2020), 2020.

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