High-Resolution Planetscope Imagery and Machine Learning for Estimating Suspended Particulate Matter in the Ebinur Lake, Xinjiang, China.
Pan DuanFei ZhangChangjiang LiuMou Leong TanJingchao ShiWeiwei WangYunfei CaiHsiang-te KungShengtian YangPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2023)
Keyphrases
- high resolution
- machine learning
- low resolution
- economic development
- sustainable development
- super resolution
- remote sensing
- high frequency
- high resolution images
- machine learning methods
- image processing
- magnetic resonance images
- field of view
- high quality
- hong kong
- information extraction
- computer vision
- imaging sensors
- explanation based learning
- learning systems
- machine learning approaches
- knowledge acquisition
- data mining
- decision trees
- lidar data
- learning algorithm
- data analysis
- knowledge representation
- satellite data
- artificial intelligence
- model selection
- estimation process
- satellite images
- inductive learning
- inductive logic programming
- pattern recognition
- machine learning algorithms
- aerial imagery
- image super resolution
- statistical methods
- learning tasks
- change detection
- text classification
- face images
- support vector machine
- natural language