Anomaly Feature Learning for Unsupervised Change Detection in Heterogeneous Images: A Deep Sparse Residual Model.
Redha TouatiMax MignotteMohamed DahmanePublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- image data
- probabilistic model
- image features
- learning algorithm
- image analysis
- learning process
- active learning
- prior knowledge
- similarity measure
- multiscale
- anomaly detection
- image classification
- image registration
- image database
- learning models
- segmentation algorithm
- input image
- semi supervised
- d objects
- high level
- three dimensional