Machine Learning-Based Improvement of Aerosol Optical Depth from CHIMERE Simulations Using MODIS Satellite Observations.
Farouk LemmouchiJuan CuestaMathieu LachatreJulien BrajardAdriana ComanMatthias BeekmannClaude DerognatPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning
- remote sensing
- satellite data
- remote sensing data
- pattern recognition
- knowledge acquisition
- learning algorithm
- multispectral
- decision trees
- depth map
- information extraction
- change detection
- land cover
- satellite images
- machine learning algorithms
- natural language processing
- high resolution
- remote sensing images
- hyperspectral
- image processing
- feature selection
- depth information
- statistical methods
- computer vision
- explanation based learning
- supervised classification
- numerical simulations
- multispectral images
- data mining
- learning systems
- imaging sensors
- active learning
- land cover classification
- artificial intelligence
- simulation model
- image analysis
- text classification
- significant improvement