Relaxation linear regression with spectral–spatial constrained locality adaptive regularization for hyperspectral image classification

Relaxation linear regression with spectral–spatial constrained locality adaptive regularization for hyperspectral image classification

Abstract Recently, relaxation linear regression has received increasing attention in image analysis. However, the current relaxation linear regression methods fail to consider the local geometrical structure and spatial information while they are applied for hyperspectral image (HSI) classification....

Full description

Bibliographic Details
Main Authors: Meng‐Long Yang, Chen‐Feng Long, Yang‐Jun Deng, Xiang Luo
Format: Article
Language:English
Published: Wiley 2024-02-01
Series:Electronics Letters
Subjects:
hyperspectral imaging
image classification
regression analysis
Online Access:https://doi.org/10.1049/ell2.13108

Internet

https://doi.org/10.1049/ell2.13108

Similar Items