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Decision fusion for hyperspectral image classification based on minimum-distance classifiers in thewavelet domain.

, , , , and . ChinaSIP, page 162-165. IEEE, (2014)

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Voxelization of full waveform LiDAR data for fusion with Hyperspectral Imagery., , and . IGARSS, page 3407-3410. IEEE, (2013)Wavelet domain active learning for robust classification of full-waveform LiDAR data., , and . IGARSS, page 3566-3569. IEEE, (2014)Utilization of Local and Global Hyperspectral Features via Wavelet Packets and Multiclassifiers for Robust Target Recognition., , , and . IGARSS (3), page 825-828. IEEE, (2009)Hyperspectral feature space partitioning via mutual information for data fusion., and . IGARSS, page 4846-4849. IEEE, (2007)Transformation learning based domain adaptation for robust classification of disparate hyperspectral data., and . IGARSS, page 3640-3643. IEEE, (2017)Superpixel-Based Active Learning and Online Feature Importance Learning for Hyperspectral Image Analysis., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (1): 347-359 (2017)Compressive data fusion for multi-sensor image analysis., , and . ICIP, page 5032-5036. IEEE, (2014)Information Fusion in the Redundant-Wavelet-Transform Domain for Noise-Robust Hyperspectral Classification., , , and . IEEE Trans. Geosci. Remote. Sens., 50 (9): 3474-3486 (2012)Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis., , , and . IEEE Trans. Geosci. Remote. Sens., 50 (4): 1185-1198 (2012)Multisource Geospatial Data Fusion via Local Joint Sparse Representation., and . IEEE Trans. Geosci. Remote. Sens., 54 (6): 3265-3276 (2016)