Ideal Kernel-Based Multiple Kernel Learning for Spectral-Spatial Classification of Hyperspectral Image
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DOI: 10.1109/lgrs.2017.2695534
Abstract: Using multiple types of features can effectively improve the classification accuracy of hyperspectral image (HSI). Multiple kernel learning (MKL) provides a flexible framework to fuse different features in a very natural way. In this letter,… read more here.
Keywords: ideal kernel; classification; multiple kernel; kernel learning ... See more keywords