Kernel Sparse Subspace Clustering with a Spatial Max Pooling Operation for Hyperspectral Remote Sensing Data Interpretation.
Han ZhaiHongyan ZhangXiong XuLiangpei ZhangPingxiang LiPublished in: Remote. Sens. (2017)
Keyphrases
- remote sensing data
- hyperspectral
- subspace clustering
- remote sensing
- high dimensional
- multispectral
- hyperspectral images
- high dimensional data
- infrared
- subspace clusters
- clustering method
- subspace projection
- spectral signatures
- remote sensing imagery
- hyperspectral data
- remote sensing images
- hyperspectral imagery
- image data
- spatial resolution
- clustering algorithm
- target detection
- land cover classification
- high dimensionality
- information content
- kernel function
- image analysis
- feature space
- change detection
- sparse representation
- remotely sensed
- multi band
- image processing
- kernel methods
- satellite images
- low dimensional
- high resolution
- machine learning
- multispectral images
- high dimensional feature space
- neural network
- co occurrence
- data points
- computer vision
- learning algorithm