Landslide Susceptibility Prediction Modeling Based on Remote Sensing and a Novel Deep Learning Algorithm of a Cascade-Parallel Recurrent Neural Network.
Li ZhuLianghao HuangLinyu FanJinsong HuangFaming HuangJiawu ChenZihe ZhangYuhao WangPublished in: Sensors (2020)
Keyphrases
- remote sensing
- recurrent neural networks
- weather prediction
- learning algorithm
- data assimilation
- remote sensing images
- change detection
- multispectral
- high resolution
- hyperspectral
- image analysis
- echo state networks
- remote sensing imagery
- remote sensing data
- satellite images
- feed forward
- neural network
- high spatial resolution
- satellite imagery
- complex valued
- image processing
- image fusion
- automatic image registration
- land cover
- back propagation
- neural network structure
- digital image analysis
- recurrent networks
- reservoir computing
- remotely sensed images
- satellite data
- earth observation
- remote sensed images
- hidden layer
- multi spectral images
- remotely sensed
- hyperspectral imagery
- hyperspectral images
- hyperspectral imaging
- artificial neural networks
- learning rate
- hyperspectral remote sensing
- image data
- supervised learning
- gaussian process models
- spatial resolution
- land cover classification
- geographical information systems