A Remote Sensing-Based Approach for Debris-Flow Susceptibility Assessment Using Artificial Neural Networks and Logistic Regression Modeling.
Racha ElkadiriMohamed SultanAhmed M. YoussefTamer M. ElbayoumiRonald ChaseAli B. BulkhiMohamed M. Al-KatheeriPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2014)
Keyphrases
- logistic regression
- remote sensing
- using artificial neural networks
- change detection
- remote sensing images
- multispectral
- image analysis
- image processing
- decision trees
- remote sensing imagery
- high spatial resolution
- remote sensing data
- high resolution
- naive bayes
- automatic image registration
- hyperspectral
- weather prediction
- satellite images
- satellite data
- artificial neural networks
- satellite imagery
- earth observation
- logistic regression models
- linear support vector machines
- land cover
- support vector
- loss function
- remote sensed images
- digital image analysis
- odds ratio
- finite element analysis
- pattern recognition
- multi spectral images
- geographical information systems
- neural network
- supervised learning
- text classification