Maximum variance unfolding based co-location decision tree for remote sensing image classification.
Rongting ZhangGuoqing ZhouJingjin HuangXiang ZhouPublished in: IGARSS (2017)
Keyphrases
- remote sensing
- image classification
- decision trees
- remotely sensed data
- maximum variance unfolding
- change detection
- multispectral
- remote sensing images
- remote sensing imagery
- remote sensing data
- image processing
- feature extraction
- image analysis
- remote sensed images
- hyperspectral
- satellite images
- nonlinear dimensionality reduction
- high resolution
- medical imaging
- automatic image registration
- satellite data
- image representation
- image features
- remotely sensed
- neural network
- kernel function
- machine learning
- high quality
- earth observation
- laplacian eigenmaps
- active learning
- multi band
- hyperspectral images