Very High Resolution Remote Sensing Imagery Classification Using a Fusion of Random Forest and Deep Learning Technique - Subtropical Area for Example.
Luofan DongLuqi XingTengyan LiuHuaqiang DuFangjie MaoNing HanXuejian LiGuomo ZhouDien ZhuJunlong ZhengMeng ZhangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- random forest
- deep learning
- decision trees
- remote sensing imagery
- feature set
- unsupervised learning
- remote sensing
- classification accuracy
- machine learning
- feature vectors
- higher order
- ensemble methods
- change detection
- image classification
- neural network
- training set
- feature space
- supervised learning
- class labels
- support vector
- hyperspectral
- feature extraction
- data mining
- feature selection
- weakly supervised
- fusion method
- face recognition
- multiscale
- machine learning methods
- data fusion
- benchmark datasets
- pattern recognition
- object recognition