Towards a generic theoretical framework for pattern-based LUCC modeling: An accurate and powerful calibration-estimation method based on kernel density estimation.
François-Rémi MazyPierre-Yves LongarettiPublished in: Environ. Model. Softw. (2022)
Keyphrases
- theoretical framework
- kernel density estimation
- density function
- beta distribution
- pairwise
- prior knowledge
- computer vision
- parameter estimation
- density estimation
- machine learning methods
- mean shift
- segmentation method
- segmentation algorithm
- unsupervised learning
- probabilistic model
- image analysis
- feature selection