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A sun/shadow approach for the classification of hyperspectral data.

, , , и . WHISPERS, стр. 1-5. IEEE, (2016)

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Xavier Domont

Xavier Lambin

Xavier Fontaine

Arumainathan Xavier

Xavier Leroy

 

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Simulating Space Lidar Waveforms From Smaller-Footprint Airborne Laser Scanner Data for Vegetation Observation., , и . IEEE Geosci. Remote. Sens. Lett., 11 (2): 534-538 (2014)Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques., , , , и . CoRR, (2023)Hierarchically exploring the width of spectral bands for urban material classification., , , и . JURSE, стр. 1-4. IEEE, (2017)A sun/shadow approach for the classification of hyperspectral data., , , и . WHISPERS, стр. 1-5. IEEE, (2016)Simulation of urban optical images from high spectral and spatial resolution multi-angular airborne acquisitions., , , и . IGARSS, стр. 3572-3575. IEEE, (2010)Estimation of Soil Moisture Content of bare soils from their spectral optical properties in the 0.4 - 12 µm spectral domain., , , и . IGARSS, стр. 3861-3864. IEEE, (2010)NMF Hyperspectral Unmixing Of The Sea Bottom: Influence Of The Adjacency Effects, Model and Method., , , , , , , , , и . WHISPERS, стр. 1-5. IEEE, (2018)Performance analysis of unsupervised unmixing models for thermal hyepsrpectral., , , , , и . WHISPERS, стр. 1-4. IEEE, (2012)Spectral BRDF of common urban materials., , , , , и . WHISPERS, стр. 1-4. IEEE, (2012)A physics-based unmixing method for thermal hyperspectral images., , , , и . ICIP, стр. 5082-5086. IEEE, (2014)