Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning.
Tianchen LiangShunlin LiangLinqing ZouLin SunBing LiHao LinTao HeFeng TianPublished in: Remote. Sens. (2022)
Keyphrases
- machine learning
- high resolution
- satellite imagery
- thematic mapper
- imaging sensors
- computer vision
- remote sensing data
- multispectral
- electro optical
- satellite images
- supervised classification
- pattern recognition
- motion parallax
- depth map
- lidar data
- machine learning methods
- learning algorithm
- low resolution
- image data
- active learning
- artificial intelligence
- feature selection
- data mining
- depth information
- change detection
- infrared
- knowledge acquisition
- text mining
- support vector machine
- parameter estimation
- spatial resolution
- unsupervised learning
- supervised learning
- computer science
- reinforcement learning
- image sequences