A two-point machine learning method for the spatial prediction of soil pollution.
Bingbo GaoAlfred SteinJinfeng WangPublished in: Int. J. Appl. Earth Obs. Geoinformation (2022)
Keyphrases
- machine learning
- experimental evaluation
- machine learning methods
- high precision
- synthetic data
- edge detection
- prediction model
- preprocessing
- pairwise
- clustering method
- significant improvement
- cost function
- dynamic programming
- support vector machine
- high accuracy
- prior knowledge
- similarity measure
- classification accuracy
- spatio temporal
- prediction accuracy
- prediction algorithm
- spatial distribution
- image sequences
- correlation coefficient
- statistical methods
- spatial and temporal
- computational complexity
- detection method
- evolutionary algorithm
- detection algorithm
- support vector machine svm
- unsupervised learning
- data sets
- probabilistic model