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Ensemble Learning in Hyperspectral Image Classification: Toward Selecting a Favorable Bias-Variance Tradeoff.

, , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (4): 1089-1102 (2014)

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Automatic fusion and classification of hyperspectral and LiDAR data using random forests., , , and . IGARSS, page 1245-1248. IEEE, (2014)Ensemble Learning in Hyperspectral Image Classification: Toward Selecting a Favorable Bias-Variance Tradeoff., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (4): 1089-1102 (2014)Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest., , , , , , , , , and 4 other author(s). IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (6): 2405-2418 (2014)Anomaly detection for dike monitoring using system identification., , , and . ICASSP, page 399-403. IEEE, (2014)Synthetic aperture signal processing for high resolution 3D image reconstruction in the THz-domain., , and . EUSIPCO, page 744-748. IEEE, (2009)Fusion of PolSAR and PolInSAR data for land cover classification., , , , and . Int. J. Applied Earth Observation and Geoinformation, 11 (3): 169-180 (2009)Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest., , , , , , , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (5): 1363-1377 (2018)Detection of small changes in complex urban and industrial scenes using imaging spectroscopy., , and . IGARSS, page 4757-4760. IEEE, (2010)Fusion of Lidar, Hyperspectral and RGB Data for Urban Land Use and Land Cover Classification., , , , and . IGARSS, page 3864-3867. IEEE, (2018)