Infrared ultraspectral signature classification based on a restricted Boltzmann machine with sparse and prior constraints
Author:
Affiliation:
1. Electronic Information School, Wuhan University, Wuhan, 430072 P. R. China
2. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074 P. R. China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
PhD Programs Foundation of the Ministry of Education of China
Natural Science Foundation of Hubei Province of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2015.1079664
Reference36 articles.
1. TES on the aura mission: scientific objectives, measurements, and analysis overview
2. Hyperspectral Remote Sensing Data Analysis and Future Challenges
3. Enhancing Sparsity by Reweighted ℓ 1 Minimization
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