Predicting the expansion of an urban boundary using spatial logistic regression and hybrid raster-vector routines with remote sensing and GIS.
Amin TayyebiPhillips Christian PerryAmir Hossein TayyebiPublished in: Int. J. Geogr. Inf. Sci. (2014)
Keyphrases
- logistic regression
- remote sensing
- spatial analysis
- raster data
- geographic information systems
- spatial data
- geographical information systems
- remote sensing data
- change detection
- multispectral
- decision trees
- remote sensing images
- urban areas
- high resolution
- remote sensing imagery
- image analysis
- hyperspectral
- logistic regression models
- vector data
- image processing
- satellite imagery
- satellite data
- support vector
- land cover
- earth science
- spatial databases
- loss function
- naive bayes
- climate change
- satellite images
- remote sensed images
- remotely sensed data
- data streams
- data analysis
- feature vectors
- spatial information
- geospatial data
- similarity measure
- earth observation
- computer vision
- aerial images
- spatial relationships