Using NDVI-NSSI feature space for simultaneous estimation of fractional cover of non-photosynthetic vegetation and photosynthetic vegetation.
Cuicui ZhuJia TianQingjiu TianXiaoqiong WangQianjing LiPublished in: Int. J. Appl. Earth Obs. Geoinformation (2023)
Keyphrases
- remote sensing
- land cover
- feature space
- remotely sensed data
- change detection
- multispectral
- remote sensing data
- remotely sensed
- remote sensing images
- satellite images
- image processing
- normalized difference vegetation index
- hyperspectral
- high resolution
- high dimensionality
- tree crown
- satellite data
- image classification
- image analysis
- feature extraction
- high dimensional
- hyperspectral images
- supervised classification
- geographic information systems
- remotely sensed images
- feature vectors
- aerial images
- classification accuracy
- dimension reduction
- neural network
- power line
- image segmentation
- soil erosion
- natural environment
- feature selection
- learning algorithm
- urban areas
- training set
- estimation accuracy
- accurate estimation
- data points
- support vector machine
- principal component analysis
- kernel function
- image representation