Spatial Perspectives toward the Recommendation of Remote Sensing Images Using the INDEX Indicator, Based on Principal Component Analysis.
Jung-Hong HongZeal Li-Tse SuEric Hsueh-Chan LuPublished in: Remote. Sens. (2020)
Keyphrases
- remote sensing images
- principal component analysis
- remote sensing data
- change detection
- remote sensing
- multispectral
- geographical information systems
- remotely sensed images
- marked point processes
- land cover
- dimensionality reduction
- satellite images
- spatial data
- independent component analysis
- landsat etm
- spectral features
- covariance matrix
- spatial information
- collaborative filtering
- principal components
- index structure
- recommender systems
- user preferences
- multispectral images
- vector data
- feature extraction
- remote sensing imagery
- spatial relationships
- recommendation systems
- image processing
- face recognition
- gustafson kessel
- high resolution
- neural network