A novel ensemble learning approach to extract urban impervious surface based on machine learning algorithms using SAR and optical data.
Muhammad Nasar AhmadZhenfeng ShaoXiongwu XiaoPeng FuAkib JavedIffat AraPublished in: Int. J. Appl. Earth Obs. Geoinformation (2024)
Keyphrases
- machine learning algorithms
- ensemble learning
- machine learning
- data sets
- data distribution
- machine learning models
- data structure
- benchmark data sets
- machine learning methods
- training data
- random forests
- learning tasks
- high dimensional data
- prediction accuracy
- learning algorithm
- support vector machine svm
- historical data
- active learning
- prior knowledge
- feature selection