Paul Scheunders

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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)
B. Rasti, Koirala, B., and Scheunders, P., Sparse unmixing using deep convolutional networks, in IGARSS 2022, International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022.
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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., Ghamisi, P., and Gloaguen, R., Boosting Hyperspectral Image Unmixing using Denoising: Four Scenarios, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
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T. Hu, Liu, N., Li, W., Tao, R., Zhang, F., and Scheunders, P., 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.
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T. Hu, Li, W., Liu, N., Tao, R., Zhang, F., and Scheunders, P., 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.PDF icon tgrs_2020.pdf (5.71 MB)
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K. Rafiezadeh Sahi, Ghamisi, P., Jackisch, R., Rasti, B., Scheunders, P., and Gloaguen, R., 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.
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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)
B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., Spectral Unmixing Using Deep Convolutional Encoder-Decoder, in IGARSS 2021, International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.
B. Rasti, Koirala, B., Scheunders, P., and Ghamisi, P., UnDIP: hyperspectral unmixing using deep image prior, IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2021.PDF icon manuscript.pdf (13 MB)
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B. Koirala, Zahiri, Z., Khodadadzadeh, M., and Scheunders, P., 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.PDF icon fractional_abundance_estimation_of_mixed_and_compound_materials_by_hyperspectral_imaging.pdf (742.67 KB)
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R. Heylen, Andrejchenko, V., Zahiri, Z., Parente, M., and Scheunders, P., Nonlinear hyperspectral unmixing with graphical models, IEEE Transaction on Geoscience and Remote Sensing, vol. 57, no. 7, pp. 4844-4856, 2019.PDF icon published.pdf (3.15 MB)
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B. Koirala and Scheunders, P., 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.PDF icon bikram_koirala_igarss2019.pdf (325.58 KB)
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V. Andrejchenko, Zahiri, Z., Heylen, R., and Scheunders, P., A spectral mixing model accounting for multiple reflections and shadow, in IGARSS 2019, International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019, pp. 286-289.

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