Spectral-Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach.
Wenzhi ZhaoShihong DuPublished in: IEEE Trans. Geosci. Remote. Sens. (2016)
Keyphrases
- dimension reduction
- deep learning
- hyperspectral image classification
- feature extraction
- unsupervised learning
- hyperspectral
- hyperspectral images
- active learning
- hyperspectral data
- random projections
- principal component analysis
- machine learning
- feature selection
- high dimensional
- hyperspectral imagery
- linear discriminant analysis
- preprocessing
- low dimensional
- feature space
- spatial information
- image classification
- principle component analysis
- dimensionality reduction
- manifold learning
- weakly supervised
- high dimensional data
- cluster analysis
- face recognition
- supervised learning
- mental models
- multispectral
- remote sensing
- input image
- semi supervised
- pattern recognition
- image data
- object recognition