Spatial Sampling and Grouping Information Entropy Strategy Based on Kernel Fuzzy C-Means Clustering Method for Hyperspectral Band Selection

Spatial Sampling and Grouping Information Entropy Strategy Based on Kernel Fuzzy C-Means Clustering Method for Hyperspectral Band Selection

The high spectral resolution of hyperspectral images (HSIs) provides rich information but causes data redundancy, which imposes a computational burden on practical applications. Band selection methods can select a subset of HSI without changing the main information to reduce the spectral dimension....

Full description

Bibliographic Details
Main Authors: Zhou Zhang, Degang Wang, Xu Sun, Lina Zhuang, Rong Liu, Li Ni
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
hyperspectral image
band selection
kernel fuzzy c-means clustering
spatial sampling strategy
information entropy
Online Access:https://www.mdpi.com/2072-4292/14/19/5058

Internet

https://www.mdpi.com/2072-4292/14/19/5058

Similar Items