Hyperspectral Feature Selection Algorithm Based on Differential Evolution and Multivariate Mutual Information
Author:
Affiliation:
1. Liaoning Technical University,College of Software,Huludao,China,125105
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10176329/10176364/10176658.pdf?arnumber=10176658
Reference17 articles.
1. Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images
2. Research on classification feature selection algorithm for high-dimensional small sample data [D];jing,2014
3. Research on feature selection methods for hyperspectral images [D];fangfei,2019
4. MIMR-DGSA: Unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm
5. Status of land cover classification accuracy assessment
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