Mixed Noise Estimation for Hyperspectral Image Based on Multiple Bands Prediction
Author:
Affiliation:
1. School of Systems Sciences and Engineering, Sun Yat-sen University, Guangzhou, China
Funder
Open Fund of Science and Technology on Integrated Information System Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09714381.pdf?arnumber=9714381
Reference14 articles.
1. Superpixel-Based Mixed Noise Estimation for Hyperspectral Images Using Multiple Linear Regression
2. Regional clustering-based spatial preprocessing for hyperspectral unmixing
3. SLIC superpixels;achanta,2010
4. Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
5. Non-local Meets Global: An Integrated Paradigm for Hyperspectral Image Restoration
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