A variable precision rough set approach to the remote sensing land use/cover classification.
Xin PanShuqing ZhangHuaiqing ZhangXiaodong NaXiaofeng LiPublished in: Comput. Geosci. (2010)
Keyphrases
- remote sensing
- variable precision
- decision table
- rough sets
- knowledge structures
- remote sensing images
- reduction method
- change detection
- multispectral
- decision trees
- land cover classification
- satellite images
- remote sensing imagery
- high resolution
- image analysis
- remote sensing data
- hyperspectral
- image processing
- dominance relation
- land cover
- multi spectral images
- rough set theory
- high spatial resolution
- satellite data
- landsat tm
- automatic image registration
- set valued
- remotely sensed
- hyperspectral images
- decision rules
- geographical information systems
- hyperspectral data
- multiresolution
- hyperspectral imagery
- earth observation
- remote sensed images
- machine learning
- discernibility matrix
- supervised classification
- classification accuracy
- knowledge base
- computer vision
- artificial intelligence
- data mining