Mapping the Growing Stem Volume of the Coniferous Plantations in North China Using Multispectral Data from Integrated GF-2 and Sentinel-2 Images and an Optimized Feature Variable Selection Method.
Xinyu LiHui LinJiangping LongXiaodong XuPublished in: Remote. Sens. (2021)
Keyphrases
- image data
- multispectral
- multispectral images
- remote sensing data
- satellite images
- variable selection
- input data
- cross validation
- preprocessing
- data sets
- segmentation method
- multi band
- data analysis
- high spatial resolution
- image analysis
- principal components
- input variables
- edge detection
- model selection
- image classification
- data points
- high dimensional data
- hyperspectral data
- remote sensing
- dimension reduction
- hyperspectral images
- training data
- high quality
- spatial resolution
- unsupervised learning
- data mining techniques
- land cover
- supervised learning
- input image
- high dimensional
- spectral bands