A Decision Rule and Machine Learning-Based Hybrid Approach for Automated Land-Cover Type Local Climate Zones (LCZs) Mapping Using Multi-Source Remote Sensing Data.
Md Didarul IslamLiping DiChen ZhangRuixin YangJohn J. QuDaniel Q. TongLiying GuoLi LinAran PandeyPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- remote sensing data
- decision rules
- land cover
- multi source
- machine learning
- climate change
- remote sensing imagery
- remote sensing
- multispectral
- supervised classification
- change detection
- remote sensing images
- decision trees
- land cover classification
- data fusion
- rough sets
- information fusion
- remotely sensed data
- satellite images
- remotely sensed images
- satellite imagery
- satellite data
- multiple sources
- geographic information systems
- data integration
- data sources
- pattern recognition
- remotely sensed
- data mining
- learning algorithm
- active learning
- earth science
- data analysis
- image analysis
- artificial intelligence
- image processing
- reinforcement learning
- supervised learning
- multispectral images
- urban areas
- genetic algorithm
- unsupervised learning
- hyperspectral
- data management
- multi dimensional
- data sets