Multilevel Reweighted Sparse Hyperspectral Unmixing Using Superpixel Segmentation and Particle Swarm Optimization
Author:
Affiliation:
1. School of Computer Science and Technology, Donghua University, Shanghai, China
Funder
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/9651998/09875317.pdf?arnumber=9875317
Reference19 articles.
1. Sparsity measure based library aided unmixing of hyperspectral image
2. Fast Linear Unmixing of Hyperspectral Image by Slow Feature Analysis and Simplex Volume Ratio Approach
3. Sparse Unmixing for Hyperspectral Imagery via Comprehensive-Learning-Based Particle Swarm Optimization
4. Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing
5. Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing
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