Feature Selection Solution with High Dimensionality and Low-Sample Size for Land Cover Classification in Object-Based Image Analysis.
Yaohuan HuangChuanpeng ZhaoHaijun YangXiaoyang SongJie ChenZhonghua LiPublished in: Remote. Sens. (2017)
Keyphrases
- high dimensionality
- small sample size
- sample size
- feature selection
- small sample
- image analysis
- high dimensional
- model selection
- feature space
- land cover classification
- high dimensional data
- dimensionality reduction
- multispectral
- gene expression data
- dimension reduction
- microarray
- small samples
- feature selection and classification
- class imbalance
- random sampling
- feature extraction
- remote sensing
- optimal solution
- image segmentation
- microarray data
- feature selection algorithms
- progressive sampling
- supervised classification
- linear discriminant analysis
- unsupervised learning
- classification accuracy
- pattern recognition
- computer vision
- hyperspectral
- nearest neighbor
- upper bound
- data points
- sample complexity
- irrelevant features
- decision trees
- redundant features
- image processing
- machine learning