Feature Selection via Cramer's V-Test Discretization for Remote-Sensing Image Classification.
Bo WuLiangpei ZhangYindi ZhaoPublished in: IEEE Trans. Geosci. Remote. Sens. (2014)
Keyphrases
- remote sensing
- image classification
- feature selection
- remotely sensed data
- change detection
- multispectral
- remote sensing images
- remote sensing imagery
- feature extraction
- hyperspectral
- remote sensing data
- image processing
- satellite images
- high resolution
- image fusion
- land cover
- automatic image registration
- image analysis
- digital image analysis
- satellite imagery
- high spatial resolution
- remotely sensed images
- remotely sensed
- satellite data
- machine learning
- hyperspectral imagery
- remotely sensed imagery
- remote sensing image processing
- multi spectral images
- earth science
- hyperspectral images
- multispectral images
- unsupervised learning
- image features
- feature space
- hyperspectral remote sensing
- environmental sciences
- geographical information systems
- multiscale