Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models.
Zhilu ChangZhen DuFan ZhangFaming HuangJiawu ChenWenbin LiZizheng GuoPublished in: Remote. Sens. (2020)
Keyphrases
- remote sensing images
- machine learning models
- remote sensing
- geographical information systems
- change detection
- multispectral
- predictive model
- unsupervised learning
- supervised learning
- geographic information systems
- semi supervised
- unsupervised methods
- machine learning algorithms
- land cover
- machine learning
- prediction accuracy
- remotely sensed images
- satellite images
- remote sensing data
- high resolution
- spam filtering
- multi spectral images
- supervised classification
- marked point processes
- machine learning approaches
- image processing
- spatial databases
- image analysis
- spatial data
- hyperspectral
- multispectral images
- learning algorithm
- prediction model
- landsat etm
- active learning
- image segmentation
- historical data
- classification rules
- machine learning methods
- semi supervised learning
- probabilistic model
- pairwise