Remote Sensing Semantic Segregation for Water Information Extraction: Optimization of Samples via Training Error Performance.
Rui WangYizhuo MengWen ZhangZiyao LiFengmin HuLingkui MengPublished in: IEEE Access (2019)
Keyphrases
- remote sensing
- information extraction
- training error
- change detection
- multispectral
- remote sensing images
- image analysis
- hyperspectral
- satellite images
- image processing
- remote sensing data
- high resolution
- generalization error
- error rate
- text mining
- classification error
- data sets
- prediction error
- training samples
- image classification
- upper bound
- machine learning
- model selection
- wavelet transform
- multi class
- multiscale
- gradient method
- data mining