Unsupervised hyperspectral feature selection based on fuzzy c-means and grey wolf optimizer
Author:
Affiliation:
1. College of Urban and Environment, Liaoning Normal University, Dalian, Liaoning, P.R.China.
2. College of Computer Science, Liaoning Normal University, Dalian, Liaoning, P.R.China.
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1541366
Reference47 articles.
1. Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images
2. A unifying criterion for unsupervised clustering and feature selection
3. Semi-Supervised Graph-Based Hyperspectral Image Classification
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