A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data.
Suoyan PanHaiyan GuanYongtao YuJonathan LiDaifeng PengPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2019)
Keyphrases
- multispectral
- land cover classification
- hyperspectral imagery
- remote sensing
- lidar data
- land cover
- multispectral images
- high spatial resolution
- remote sensing data
- spatial resolution
- remote sensing images
- satellite images
- hyperspectral
- learning algorithm
- image data
- image analysis
- principal component analysis
- multi band
- remote sensing imagery
- machine learning
- supervised classification
- supervised learning
- hyperspectral data
- face recognition
- video data
- high resolution