Landslide Susceptibility Prediction Using Sparse Feature Extraction and Machine Learning Models Based on GIS and Remote Sensing.
Li ZhuGongjian WangFaming HuangYan LiWei ChenHaoyuan HongPublished in: IEEE Geosci. Remote. Sens. Lett. (2022)
Keyphrases
- remote sensing
- machine learning models
- feature extraction
- predictive model
- image processing
- change detection
- remote sensing images
- multispectral
- remote sensing imagery
- geographical information systems
- spam filtering
- high resolution
- hyperspectral
- image analysis
- weather prediction
- satellite images
- machine learning approaches
- machine learning algorithms
- remote sensing data
- satellite imagery
- land cover
- spatial analysis
- geographic information systems
- satellite data
- machine learning
- remote sensed images
- prediction model
- automatic image registration
- multi spectral images
- digital image analysis
- learning models
- feature vectors
- face recognition
- computer vision
- historical data
- google earth
- earth observation
- image segmentation
- pattern recognition
- artificial neural networks
- image classification
- remotely sensed data
- decision trees
- principal component analysis