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Reaching Stage 4 of Vegetation Product Validation by Exploiting the Synergy Between UAV, HR Satellites and IoT Measurements.

, , , , , and . IGARSS, page 49-52. IEEE, (2021)

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Underwater Target Detection With Hyperspectral Data: Solutions for Both Known and Unknown Water Quality., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (4): 1213-1221 (2012)Reaching Stage 4 of Vegetation Product Validation by Exploiting the Synergy Between UAV, HR Satellites and IoT Measurements., , , , , and . IGARSS, page 49-52. IEEE, (2021)A Spectral-Spatial Approach for Hyperspectral Image Classification Using Spatial Regularization on Supervised Score Image., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (6): 2361-2369 (2015)Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods., , , , , , , , , and 2 other author(s). IGARSS, page 282-285. IEEE, (2019)Mapping Benthic Habitats by Extending Non-Negative Matrix Factorization to Address the Water Column and Seabed Adjacency Effects., , , , , , , , , and . Remote. Sens., 12 (13): 2072 (2020)Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects., , , , , , , , , and 2 other author(s). Remote. Sens., 15 (18): 4583 (September 2023)The balance between spectral and spatial information to estimate straw cereal plant density at early growth stages from optical sensors., , , , and . Comput. Electron. Agric., (December 2023)NMF Hyperspectral Unmixing Of The Sea Bottom: Influence Of The Adjacency Effects, Model and Method., , , , , , , , , and . WHISPERS, page 1-5. IEEE, (2018)