Multi-Scale Superpixels Dimension Reduction Hyperspectral Image Classification Algorithm Based on Low Rank Sparse Representation Joint Hierarchical Recursive Filtering

Multi-Scale Superpixels Dimension Reduction Hyperspectral Image Classification Algorithm Based on Low Rank Sparse Representation Joint Hierarchical Recursive Filtering

The original Hyperspectral image (HSI) has different degrees of Hughes phenomenon and mixed noise, leading to the decline of classification accuracy. To make full use of the spatial-spectral joint information of HSI and improve the classification accuracy, a novel dual feature extraction framework j...

Full description

Bibliographic Details
Main Authors: Shenming Qu, Xuan Liu, Shengbin Liang
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
hyperspectral image
low rank sparse representation
entropy rate superpixel segmentation
principal component analysis
domain transform recursive filtering
decision fusion
Online Access:https://www.mdpi.com/1424-8220/21/11/3846

Internet

https://www.mdpi.com/1424-8220/21/11/3846

Similar Items