CANet: An Unsupervised Deep Convolutional Neural Network for Efficient Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping.
Lifan ZhouHanwen YuYang LanShengrong GongMengdao XingPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- cluster analysis
- unsupervised learning
- convolutional neural network
- categorical data
- phase unwrapping
- clustering method
- k means
- clustering algorithm
- data mining
- data analysis
- cluster validity
- hierarchical latent class models
- pattern recognition
- parameter estimation
- random variables
- image reconstruction
- maximum likelihood
- fuzzy c means
- posterior distribution
- image analysis
- training set
- feature space
- real world