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Multiple Kernel Learning for Remote Sensing Image Classification.

, , , , and . IEEE Trans. Geosci. Remote. Sens., 56 (3): 1425-1443 (2018)

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Anomaly Detection in Hyperspectral Images Based on an Adaptive Support Vector Method., , , and . IEEE Geosci. Remote. Sens. Lett., 8 (4): 646-650 (2011)A Novel Multiple Kernel Learning Framework for Multiple Feature Classification., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (8): 3734-3743 (2017)Graph-based semi-supervised hyperspectral image classification using spatial information., , and . WHISPERS, page 1-4. IEEE, (2016)An Approach for Subpixel Anomaly Detection in Hyperspectral Images., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (2-3): 769-778 (2013)Histogram-based spatio-temporal feature classification of vegetation indices time-series for crop mapping., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)Multi-GNSS (GPS/Galileo) single-frequency precise point positioning: a case study over Victoria., and . Earth Sci. Informatics, 14 (3): 1303-1313 (2021)A New Convolutional Kernel Classifier for Hyperspectral Image Classification., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Improving the SVDD Approach to Hyperspectral Image Classification., , , and . IEEE Geosci. Remote. Sens. Lett., 9 (4): 594-598 (2012)A comparative study on Multiple Kernel Learning for remote sensing image classification., , , , and . IGARSS, page 1512-1515. IEEE, (2016)An Improved FCM Algorithm Based on the SVDD for Unsupervised Hyperspectral Data Classification., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 6 (2-3): 831-839 (2013)