Sampling based approximate spectral clustering ensemble for unsupervised land cover identification.
Yaser MoazzenBerna YalçinKadim TasdemirPublished in: IGARSS (2015)
Keyphrases
- spectral clustering
- land cover
- supervised classification
- multispectral
- normalized cut
- remote sensing
- change detection
- satellite images
- data clustering
- clustering method
- remote sensing images
- pairwise
- constrained spectral clustering
- similarity matrix
- supervised learning
- clustering algorithm
- k means
- image segmentation
- affinity matrix
- eigendecomposition
- graph partitioning
- geographic information systems
- environmental variables
- unsupervised learning
- hyperspectral
- feature selection
- pattern recognition
- constrained clustering
- data sets
- data modeling
- urban areas
- high quality
- learning algorithm
- machine learning
- image analysis
- spatial data