Compressive Sensing-Inspired Dual-Sparse SLFNN for Hyperspectral Imagery Classification.
Shuyuan YangHonghong JinLixia YangWenhui XuLicheng JiaoPublished in: IEEE Geosci. Remote. Sens. Lett. (2014)
Keyphrases
- compressive sensing
- hyperspectral data
- random projections
- hyperspectral imagery
- sparse representation
- hyperspectral images
- structured sparsity
- compressive sampling
- pattern recognition
- dimension reduction
- hyperspectral
- image representation
- dimensionality reduction
- compressed sensing
- signal processing
- feature extraction
- spatial resolution
- image reconstruction
- multispectral
- remote sensing
- model selection
- image classification
- original data
- object recognition
- feature selection
- document clustering
- high dimensionality
- machine learning
- target detection
- supervised learning
- face recognition