Multiple Kernel Learning for Hyperspectral Image Classification: A Review
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2017.2729882
Abstract: With the rapid development of spectral imaging techniques, classification of hyperspectral images (HSIs) has attracted great attention in various applications such as land survey and resource monitoring in the field of remote sensing. A key… read more here.
Keywords: hsi classification; classification; multiple kernel; kernel learning ... See more keywords
A Multiple Kernel Learning Model Based on p-Norm
Sign Up to like & getrecommendations! Published in 2018 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2018/1018789
Abstract: By utilizing kernel functions, support vector machines (SVMs) successfully solve the linearly inseparable problems. Subsequently, its applicable areas have been greatly extended. Using multiple kernels (MKs) to improve the SVM classification accuracy has been a… read more here.
Keywords: mkl; based gmkl; norm constraint; norms based ... See more keywords