An empirical research of multi-classifier fusion methods and diversity measure in remote sensing classification.
Hongchao MaWei ZhouXinyi DongHonggen XuPublished in: e-Forensics (2008)
Keyphrases
- data mining
- remote sensing
- image fusion
- fusion methods
- remotely sensed
- multispectral
- hyperspectral
- multi spectral images
- land cover classification
- change detection
- fusion method
- remote sensing images
- machine learning
- hyperspectral images
- remote sensing imagery
- multi sensor
- classification algorithm
- image processing
- satellite images
- data fusion
- fusion strategies
- pixel classification
- remote sensing data
- support vector machine
- image analysis
- training set
- hyperspectral data
- image classification
- satellite data
- high resolution
- automatic image registration
- class labels
- combining multiple
- remotely sensed data
- multiresolution
- decision trees
- feature selection
- remote sensed images
- pattern recognition
- classifier ensemble
- classifier combination
- training samples
- feature space
- discrete wavelet transform
- high spatial resolution
- supervised classification
- feature set
- hyperspectral imagery
- training data
- similarity measure
- feature extraction
- land cover
- earth observation
- ensemble classifier
- feature vectors
- medical imaging
- supervised learning
- hyperspectral remote sensing
- neural network