Ideal Regularized Kernel Subspace Alignment for Unsupervised Domain Adaptation in Hyperspectral Image Classification.
Wenqi FanTianhui WeiJiangtao PengWeiwei SunPublished in: MultiTemp (2019)
Keyphrases
- image segmentation
- hyperspectral image classification
- regularized kernel
- active learning
- hyperspectral images
- hyperspectral
- feature space
- principal component analysis
- high dimensional data
- dimensionality reduction
- low dimensional
- image data
- subspace methods
- hyperspectral imagery
- machine learning
- image classification
- data sets
- infrared
- multispectral
- principal components
- high dimensional
- lower dimensional
- hyperspectral data
- data mining