Tensor Discriminant Analysis via Compact Feature Representation for Hyperspectral Images Dimensionality Reduction

Tensor Discriminant Analysis via Compact Feature Representation for Hyperspectral Images Dimensionality Reduction

Dimensionality reduction is of great importance which aims at reducing the spectral dimensionality while keeping the desirable intrinsic structure information of hyperspectral images. Tensor analysis which can retain both spatial and spectral information of hyperspectral images has caused more and m...

Full description

Bibliographic Details
Main Authors: Jinliang An, Yuzhen Song, Yuwei Guo, Xiaoxiao Ma, Xiangrong Zhang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
dimensionality reduction
hyperspectral images classification
tensor
discriminant analysis
Online Access:https://www.mdpi.com/2072-4292/11/15/1822

Internet

https://www.mdpi.com/2072-4292/11/15/1822

Similar Items