Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C-means clustering algorithm.
Sanae AttiouiSaid NajahPublished in: IET Image Process. (2021)
Keyphrases
- detection method
- sar images
- fuzzy c means clustering algorithm
- deep belief networks
- synthetic aperture radar
- unsupervised learning
- detection algorithm
- deep learning
- restricted boltzmann machine
- fuzzy clustering
- hierarchical models
- edge detector
- probabilistic model
- supervised learning
- fuzzy c means
- machine learning
- training data
- feature extraction
- pattern recognition
- generative model
- image reconstruction
- neural network
- wavelet domain
- three dimensional
- higher order
- computer vision
- semi supervised