Semi-supervised deep generative models for change detection in very high resolution imagery.
Clayton ConnorsRanga Raju VatsavaiPublished in: IGARSS (2017)
Keyphrases
- change detection
- generative model
- semi supervised
- satellite imagery
- remotely sensed
- remote sensing
- semi supervised learning
- remote sensing images
- labeled data
- satellite images
- active learning
- high resolution
- pairwise
- supervised learning
- mixture model
- data streams
- unlabeled data
- deep belief networks
- conditional random fields
- unsupervised learning
- image registration
- multi view
- co training
- discriminative models
- land cover
- object categories
- computer vision
- discriminative learning
- pairwise constraints
- probabilistic model
- discriminative methods
- remote sensing data
- aerial imagery
- hierarchical hidden markov models
- deep learning
- multiscale
- feature extraction
- image processing
- expectation maximization
- image data
- image analysis
- gamma distributions