Unsupervised feature learning based on sparse coding and spectral clustering for segmentation of synthetic aperture radar images.
Masoumeh RahmaniGholamreza AkbarizadehPublished in: IET Comput. Vis. (2015)
Keyphrases
- spectral clustering
- sparse coding
- image segmentation
- manifold structure
- natural images
- sparse representation
- unsupervised learning
- image classification
- data clustering
- image representation
- clustering method
- deep learning
- pairwise
- multiscale
- generative model
- linear combination
- segmentation algorithm
- k means
- segmentation method
- clustering algorithm
- visual words
- image patches
- feature space
- high dimensional
- higher order
- object segmentation
- object recognition
- image processing
- bag of words
- semi supervised
- image denoising
- reinforcement learning
- denoising