Subspace matching pursuit with Dice coefficient for sparse unmixing of hyperspectral data.
Dan LiChunmei ZhangQianqi ZhouJunyan WangGuodong XuPublished in: IGARSS (2016)
Keyphrases
- hyperspectral data
- matching pursuit
- random projections
- lower dimensional
- dimensionality reduction
- image coding
- low dimensional
- hyperspectral
- hyperspectral images
- hyperspectral imagery
- principal component analysis
- principal components
- basis functions
- high dimensional
- multispectral
- sparse representation
- dimension reduction
- high dimensional data
- remote sensing
- original data
- feature space
- infrared
- image reconstruction
- document clustering
- feature extraction
- linear combination
- random sampling
- image data
- input data
- wavelet transform
- pattern recognition
- reinforcement learning
- road signs
- neural network