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Shadow Detection and Restoration for Hyperspectral Images Based on Nonlinear Spectral Unmixing.

, , and . Remote. Sens., 12 (23): 3985 (2020)

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Effects of the multiscaled-band partitioning on the abundance estimation., , , and . WHISPERS, page 1-5. IEEE, (2016)Cloud Removal in Image Time Series Through Sparse Reconstruction From Random Measurements., , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (8): 3615-3628 (2016)Correction: Zhang, G., et al. Shadow Detection and Restoration for Hyperspectral Images Based on Nonlinear Spectral Unmixing. Remote Sensing 2020, 12, 3985., , and . Remote. Sens., 13 (3): 473 (2021)Shadow Detection and Restoration for Hyperspectral Images Based on Nonlinear Spectral Unmixing., , and . Remote. Sens., 12 (23): 3985 (2020)Fast Machine Learning Simulator of At-Sensor Radiances for Solar-Induced Fluorescence Retrieval with DESIS and Hyplant., , , , , , , , , and . IGARSS, page 7563-7566. IEEE, (2023)Shadow-Aware Nonlinear Spectral Unmixing for Hyperspectral Imagery., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Shadow-Aware Nonlinear Spectral Unmixing With Spatial Regularization., , , and . WHISPERS, page 1-5. IEEE, (2022)Evaluating Soil Reflectance Composites generated by SCMaP using different Sentinel-2 reflectance data inputs., , , , and . IGARSS, page 495-498. IEEE, (2021)Introducing DLR Hysu - A Benchmark Dataset for Spectral Unmixing., , , , , , , , , and 1 other author(s). IGARSS, page 1008-1011. IEEE, (2023)Exploring the Potential of Conditional Adversarial Networks for Optical and SAR Image Matching., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (6): 1811-1820 (2018)