Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information.
Matthew J. CracknellAnya M. ReadingPublished in: Comput. Geosci. (2014)
Keyphrases
- spatial distribution
- machine learning algorithms
- spatial information
- remote sensing data
- learning algorithm
- training data
- decision trees
- benchmark data sets
- remote sensing
- machine learning methods
- machine learning
- learning problems
- multispectral
- spatial relationships
- temporal information
- data sets
- training set
- machine learning models
- spatial resolution
- machine learning approaches
- standard machine learning algorithms
- spatial relations
- land cover
- remote sensing images
- spatial features
- region connection calculus
- hyperspectral
- color histogram
- visual words
- supervised learning
- support vector machine
- active learning
- reinforcement learning