Multiple Kernel Learning Based on Discriminative Kernel Clustering for Hyperspectral Band Selection.
Jie FengLicheng JiaoTao SunHongying LiuXiangrong ZhangPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- multiple kernel learning
- hyperspectral
- band selection
- hyperspectral images
- hyperspectral remote sensing
- hyperspectral imagery
- kernel learning
- remote sensing
- spectral bands
- hyperspectral data
- kernel methods
- pixel classification
- hyperspectral imaging
- multispectral
- target detection
- infrared
- image data
- feature selection
- unsupervised learning
- clustering algorithm
- kernel function
- spatial resolution
- semi supervised learning
- clustering method
- kernel trick
- information content
- k means
- semi supervised
- machine learning
- affinity propagation
- kernel matrix
- high dimensionality
- support vector
- satellite images
- change detection
- supervised learning
- high resolution
- image analysis
- document clustering
- mean shift
- semantic information
- support vector machine
- computer vision