Remote sensing image segmentation using geodesic-kernel functions and multi-feature spaces.
Xuemei ZhaoHaijian WangJun WuYu LiShijie ZhaoPublished in: Pattern Recognit. (2020)
Keyphrases
- remote sensing
- kernel function
- feature space
- image segmentation
- image analysis
- image processing
- kernel matrix
- change detection
- kernel methods
- high dimensional
- high dimensional feature space
- polynomial kernels
- medical imaging
- multispectral
- input space
- remote sensing images
- hyperspectral
- hyperplane
- remote sensing imagery
- high resolution
- image fusion
- support vector
- remote sensing data
- support vector machine
- satellite images
- satellite data
- land cover
- satellite imagery
- feature set
- high spatial resolution
- automatic image registration
- feature vectors
- multiscale
- feature extraction
- remote sensed images
- digital image analysis
- dimensionality reduction
- feature selection
- training set
- kernel learning
- training samples
- machine learning
- hyperspectral images
- hyperspectral remote sensing
- computer vision
- classification accuracy
- support vectors
- principal component analysis
- multi spectral images
- hyperspectral imagery
- low dimensional
- multiresolution
- gaussian kernels