A Highly Efficient Method for Training Sample Selection in Remote Sensing Classification.
Chao YangQingquan LiGuofeng WuJunyi ChenPublished in: Geoinformatics (2018)
Keyphrases
- highly efficient
- remote sensing
- sample selection
- classification method
- support vector machine svm
- remote sensing data
- training set
- training samples
- classification accuracy
- multispectral
- low cost
- multi spectral images
- training process
- change detection
- remote sensing images
- similarity measure
- data sets
- satellite images
- remote sensing imagery
- automatic image registration
- active learning
- evolutionary algorithm
- image analysis
- feature vectors
- computational complexity
- pattern recognition
- support vector
- image sequences
- machine learning