A Novel Joint Change Detection Approach Based on Weight-Clustering Sparse Autoencoders.
Jianchao FanKai LinMin HanPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2019)
Keyphrases
- data sets
- change detection
- data streams
- remote sensing images
- remote sensing
- remotely sensed images
- clustering algorithm
- image registration
- satellite imagery
- satellite images
- k means
- man made structures
- remotely sensed
- remote sensing imagery
- denoising
- concept drift
- land cover
- neural network
- land cover change
- sparse representation
- unsupervised learning
- multispectral
- gamma distributions
- multiscale
- image processing