Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model.
Dieu Tien BuiKhabat KhosraviHiman ShahabiPrasad DaggupatiJan Franklin AdamowskiAssefa M. MelesseBinh Thai PhamHamid Reza PourghasemiMehrnoosh MahmoudiSepideh BahramiBiswajeet PradhanAtaollah ShirzadiKamran ChapiSaro LeePublished in: Remote. Sens. (2019)
Keyphrases
- regression model
- remote sensing
- belief functions
- geographical information systems
- remote sensing data
- spatial analysis
- dempster shafer
- multispectral
- change detection
- remote sensing images
- dempster shafer theory
- remote sensing imagery
- image processing
- model selection
- image analysis
- evidential reasoning
- hyperspectral
- image fusion
- weather prediction
- multivariate regression
- satellite imagery
- spatial data
- regression analysis
- satellite images
- digital image analysis
- land cover
- high resolution
- geographic information systems
- neural network
- google earth
- remotely sensed data
- gaussian process
- spatial information
- earth observation
- hyperspectral images
- pattern recognition
- hyperspectral imagery
- satellite data
- remote sensed images
- spatial reasoning
- spatial objects
- spatial relationships
- logistic regression
- multi spectral images
- query processing
- artificial neural networks
- high quality
- training data
- feature selection