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Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data.

, , , , , , , and . Remote. Sens., 11 (18): 2164 (2019)

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Hierarchically exploring the width of spectral bands for urban material classification., , , and . JURSE, page 1-4. IEEE, (2017)Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: A Hyperspectral Unmixing Method Dealing with Intra-Class Variability., , , , and . Remote Sensing, 10 (11): 1706 (2018)A sun/shadow approach for the classification of hyperspectral data., , , and . WHISPERS, page 1-5. IEEE, (2016)Toulouse Hyperspectral Data Set: a benchmark data set to assess semi-supervised spectral representation learning and pixel-wise classification techniques., , , , and . CoRR, (2023)Simulation of urban optical images from high spectral and spatial resolution multi-angular airborne acquisitions., , , and . IGARSS, page 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., , , and . IGARSS, page 3861-3864. IEEE, (2010)Simulating Space Lidar Waveforms From Smaller-Footprint Airborne Laser Scanner Data for Vegetation Observation., , and . IEEE Geosci. Remote. Sens. Lett., 11 (2): 534-538 (2014)Sensor Fusion Integrating Contextual Information., , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 9 (3): 369-410 (2001)Criteria Comparison for Classifying Peatland Vegetation Types Using In Situ Hyperspectral Measurements., , , , and . Remote. Sens., 9 (7): 748 (2017)Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing., , , , , and . EUSIPCO, page 1859-1863. IEEE, (2011)