Random Forest Fusion Classification of Remote Sensing PolSAR and Optical Image Based on LASSO and IM Factor.
Fang HongYingying KongPublished in: IGARSS (2021)
Keyphrases
- remote sensing
- random forest
- multi spectral images
- image fusion
- decision trees
- feature set
- multispectral
- remote sensing images
- hyperspectral images
- change detection
- land cover classification
- hyperspectral data
- hyperspectral
- satellite imagery
- remote sensing imagery
- image analysis
- automatic image registration
- classification accuracy
- satellite data
- satellite images
- feature selection
- hyperspectral imagery
- land cover
- high resolution
- remote sensing data
- decision tree learning algorithms
- machine learning
- ensemble methods
- feature extraction
- feature vectors
- ensemble classifier
- multi sensor
- supervised classification
- image processing
- earth observation
- support vector
- multi label
- image classification
- computer vision
- remotely sensed data
- high dimensional
- data fusion
- multiresolution
- fusion method
- pattern recognition
- training data
- support vector machine
- benchmark datasets
- supervised learning