How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM2.5 Using Machine Learning?
Zhongyan TianJing WeiZhanqing LiPublished in: Remote. Sens. (2023)
Keyphrases
- machine learning
- motion parallax
- closely spaced
- light scattering
- surface temperature
- surface roughness
- pattern recognition
- machine learning algorithms
- computer vision
- learning algorithm
- artificial intelligence
- remote sensing
- white light
- refractive index
- three dimensional
- decision trees
- machine learning methods
- imaging sensors
- support vector machine
- dense depth maps
- keywords
- data mining
- range data
- scene geometry
- white light interferometry
- high resolution
- d objects
- supervised learning
- surface model
- surface reconstruction
- single image
- text classification
- text mining
- object surface
- real scenes
- laser beam
- active learning
- depth map
- semi supervised
- orbit determination
- zenith angle