Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification.
Xiang-Jun ShenXiaoZhen LuoTimothy Apasiba AbeoYang YangXi ShaoShuying LiPublished in: IEEE Geosci. Remote. Sens. Lett. (2019)
Keyphrases
- remote sensing
- image classification
- canonical correlations
- regularized kernel
- sparse coding
- remotely sensed data
- subspace learning
- canonical correlation analysis
- remote sensing images
- change detection
- multispectral
- discriminant analysis
- image analysis
- high resolution
- mutual information
- remote sensing data
- remote sensing imagery
- bag of words
- image processing
- feature extraction
- hyperspectral
- satellite images
- image features
- image representation
- land cover
- discriminant function
- satellite data
- automatic image registration
- discriminative learning
- image fusion
- visual words
- ensemble methods
- digital image analysis
- sparse representation
- subspace analysis
- neural network
- learning algorithm
- remotely sensed
- remote sensed images
- training set
- machine learning
- unsupervised learning
- sensor data
- training data
- earth science
- base classifiers
- hyperspectral images