Hyperspectral Target Detection via Spectral Aggregation and Separation Network With Target Band Random Mask
Author:
Affiliation:
1. Department of Information, College of Computer and Information, Hohai University, Nanjing, China
2. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
China Postdoctoral Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10161584.pdf?arnumber=10161584
Reference67 articles.
1. The CFAR adaptive subspace detector is a scale-invariant GLRT
2. CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
3. An information-theoretic approach to spectral variability, similarity, and discrimination for hyperspectral image analysis
4. Mixup: Beyond empirical risk minimization;zhang;arXiv 1710 09412,2017
5. Hyperspectral image processing for automatic target detection applications;manolakis;Lincoln Lab J,2003
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