SSMD: Dimensionality Reduction and Classification of Hyperspectral Images Based on Spatial-Spectral Manifold Distance Metric Learning.
Yao JinYanni DongYuxiang ZhangXiangyun HuPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- hyperspectral images
- distance metric learning
- spectral signatures
- nonlinear dimensionality reduction
- hyperspectral
- hyperspectral imagery
- metric learning
- distance metric
- hyperspectral data
- manifold learning
- spectral bands
- remote sensing
- gender classification
- semi supervised
- semidefinite programming
- image classification
- multispectral
- multispectral images
- low dimensional
- spatial information
- target detection
- infrared
- dimensionality reduction
- distance function
- data sets
- high dimensional
- high dimensional data
- geodesic distance
- mutual information
- dimensionality reduction methods
- locally linear embedding
- image data
- feature space
- machine learning