A Selection Criterion for the Optimal Resolution of Ground-Based Remote Sensing Cloud Images for Cloud Classification.
Yu WangChunheng WangCunzhao ShiBaihua XiaoPublished in: IEEE Trans. Geosci. Remote. Sens. (2019)
Keyphrases
- remote sensing
- hyperspectral images
- satellite images
- multi spectral images
- remotely sensed
- selection criterion
- image analysis
- high spatial resolution
- hyperspectral data
- remote sensing imagery
- high resolution
- multispectral
- hyperspectral
- remote sensing data
- satellite imagery
- remote sensing images
- image classification
- model selection
- change detection
- cloud computing
- remotely sensed images
- digital image analysis
- high resolution satellite images
- land cover classification
- image data
- multispectral images
- human skin
- automatic image registration
- image processing
- pattern recognition
- land cover
- hyperspectral imagery
- image fusion
- feature selection
- spatial resolution
- hyperspectral remote sensing
- satellite data
- training set
- input image
- image features
- feature extraction
- similarity measure
- support vector machine
- infrared
- data center
- feature vectors
- spectral resolution
- decision trees
- remote sensed images
- remotely sensed data
- support vector
- classification accuracy
- mutual information
- supervised classification
- feature selection algorithms