Multiscale Fusion Network Based on Global Weighting for Hyperspectral Feature Selection
Author:
Affiliation:
1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Funder
Government of Jiangsu Province
National Major Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9973430/10059149.pdf?arnumber=10059149
Reference47 articles.
1. Hyperspectral Band Selection by Multitask Sparsity Pursuit
2. CBAM: Convolutional Block Attention Module
3. A New Sparsity-Based Band Selection Method for Target Detection of Hyperspectral Image
4. ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification
5. Hyperspectral feature selection and extraction based on evolutionary optimization learning;zhang,2018
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