Model Selection in Atmospheric Remote Sensing with Application to Aerosol Retrieval from DSCOVR/EPIC. Part 2: Numerical Analysis.
Sruthy SasiVijay NatrajVíctor Molina GarcíaDmitry S. EfremenkoDiego G. LoyolaAdrian DoicuPublished in: Remote. Sens. (2020)
Keyphrases
- model selection
- remote sensing
- numerical analysis
- cross validation
- change detection
- multispectral
- remote sensing images
- image analysis
- remote sensing data
- satellite images
- image fusion
- hyperparameters
- sample size
- mixture model
- parameter estimation
- hyperspectral
- image processing
- high spatial resolution
- high resolution
- image enhancement
- hyperspectral images
- motion segmentation
- digital image analysis
- automatic image registration
- machine learning
- geographical information systems
- satellite imagery
- remote sensing imagery
- remote sensed images
- unsupervised learning
- selection criterion
- bayesian information criterion
- feature selection
- model selection criteria
- neural network
- hyperspectral remote sensing
- gaussian process
- variable selection
- sensor networks
- satellite data
- automatic model selection
- data sets