Spectral-spatial classification of hyperspectral imagery based on Random Forests.
Wei LiuShaozi LiMiaohui ZhangYun-Dong WuSongzhi SuRongrong JiPublished in: ICIMCS (2013)
Keyphrases
- hyperspectral imagery
- random forests
- hyperspectral data
- hyperspectral images
- band selection
- decision trees
- hyperspectral
- spectral signatures
- machine learning algorithms
- tree ensembles
- random forest
- remote sensing
- regression forests
- multispectral
- spectral bands
- target detection
- logistic regression
- spatial resolution
- infrared
- change detection
- ensemble methods
- support vector
- pattern recognition
- support vector machine svm
- classification accuracy
- training data
- feature set
- feature selection
- machine learning methods
- spatial information
- image analysis
- false alarms
- data points
- image segmentation
- support vector machine
- face detection