Using UAV LiDAR Intensity Frequency and Hyperspectral Features to Improve the Accuracy of Urban Tree Species Classification.
Yulin GongDi'en ZhuXuejian LiLujin LvBo ZhangJie XuanHuaqiang DuPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- hyperspectral
- classification accuracy
- hyperspectral data
- hyperspectral images
- feature set
- feature vectors
- feature extraction
- hyperspectral image classification
- pixel classification
- feature space
- remote sensing
- multispectral
- pattern recognition
- image data
- feature selection
- svm classifier
- land cover classification
- hyperspectral imagery
- infrared
- support vector machine
- machine learning
- image classification
- spectral bands
- information content
- support vector
- target detection
- urban areas
- hyperspectral remote sensing
- hyperspectral imaging
- principal components
- spatial information
- supervised classification
- random projections
- spatial resolution
- bayesian classifier
- training set
- satellite images
- face recognition
- dimension reduction
- image analysis
- naive bayes