Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree Modeling.
Brian Alan JohnsonShahab E. JozdaniPublished in: Remote. Sens. (2018)
Keyphrases
- urban growth
- land cover
- meta analysis
- image segmentation
- regression trees
- cellular automata model
- remote sensing
- multispectral
- change detection
- remote sensing images
- satellite images
- supervised classification
- expectation maximization
- geographic information systems
- image analysis
- urban areas
- microarray data
- maximum likelihood
- gene expression profiles
- markov random field
- image processing
- data sets
- computer vision
- linear model
- learning algorithm
- machine learning
- feature selection
- random forests
- decision trees
- least squares
- high resolution