Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k -Means Clustering.
Turgay ÇelikPublished in: IEEE Geosci. Remote. Sens. Lett. (2009)
Keyphrases
- satellite images
- principal component analysis
- unsupervised change detection
- remote sensing images
- change detection
- remote sensing
- multispectral
- principal components
- independent component analysis
- dimensionality reduction
- high resolution
- satellite imagery
- feature extraction
- face recognition
- low dimensional
- remotely sensed images
- land cover
- feature space
- high resolution satellite images
- k means
- covariance matrix
- remotely sensed
- linear discriminant analysis
- hyperspectral
- digital elevation models
- spectral clustering
- urban areas
- satellite data
- face images
- neural network
- landsat tm
- high spatial resolution
- random projections
- singular value decomposition
- three dimensional