Computationally Efficient Retrieval of Snow Surface Properties From Spaceborne Imaging Spectroscopy Measurements Through Dimensionality Reduction Using k-Means Spectral Clustering.
Brenton A. WilderChristine M. LeeAdam ChlusHans-Peter MarshallJodi BrandtAlicia M. KinoshitaJosh EnterkineThomas Van Der WeideNancy F. GlennPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2024)
Keyphrases
- spectral clustering
- computationally efficient
- k means
- dimensionality reduction
- surface properties
- clustering method
- pairwise
- clustering algorithm
- data clustering
- clustering quality
- image segmentation
- high dimensional data
- principal component analysis
- low dimensional
- medical imaging
- d mesh
- subspace learning
- cluster analysis
- computer vision
- unsupervised learning
- x ray
- image synthesis
- pairwise constraints
- constrained clustering
- optical flow
- image processing
- salient features
- object surface
- shape representation
- multi view
- normalized cut
- d objects
- data points
- high resolution