Atmospheric Correction of Satellite Optical Imagery over the Río de la Plata Highly Turbid Waters Using a SWIR-Based Principal Component Decomposition Technique.
Juan Ignacio GossnRobert FrouinAna Inés DogliottiPublished in: Remote. Sens. (2021)
Keyphrases
- principal components
- principal component analysis
- electro optical
- multivariate data
- remote sensing
- high resolution
- satellite imagery
- decomposition method
- hyperplane
- dimensionality reduction
- correlation coefficient
- infrared
- kernel space
- imaging sensors
- computer vision
- short wave
- principal component regression
- image data
- statistical analysis
- low dimensional
- feature set
- support vector machine
- principal curves