Hyperspectral Image Denoising and Classification Using Multi-Scale Weighted EMAPs and Extreme Learning Machine

Hyperspectral Image Denoising and Classification Using Multi-Scale Weighted EMAPs and Extreme Learning Machine

Recently, extended multi-attribute profiles (EMAPs) have attracted much attention due to its good performance while applied to remote sensing images feature extraction and classification. Since the EMAPs connect multiple attribute features without considering the pixel-based Hyperspectral Image (HSI...

Full description

Bibliographic Details
Main Authors: Meizhuang Liu, Faxian Cao, Zhijing Yang, Xiaobin Hong, Yuezhen Huang
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Electronics
Subjects:
extreme learning machine (ELM)
decision fusion (DF)
hyperspectral image (HSI) classification
multiscale weighted extended multi-attribute profiles (MWEMAPs)
weighted mean filters (WMFs)
Online Access:https://www.mdpi.com/2079-9292/9/12/2137

Internet

https://www.mdpi.com/2079-9292/9/12/2137

Similar Items