Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection-Reference-Cited by-同舟云学术

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Information Entropy Estimation Based on Point-Set Topology for Hyperspectral Anomaly Detection

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Sun Xiaotong¹^ORCID,Zhuang Lina²,Gao Lianru²^ORCID,Gao Hongmin¹^ORCID,Sun Xu²^ORCID,Zhang Bing³^ORCID

Affiliation:

1. College of Information Science and Engineering, Hohai University, Nanjing, China

2. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. College of Computer Science and Software Engineering, Hohai University, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10587302.pdf?arnumber=10587302

Reference68 articles.

1. Hyperspectral Target Detection : An Overview of Current and Future Challenges

2. Progress and Challenges in Intelligent Remote Sensing Satellite Systems

3. Nonnegative low rank tensor approximations with multidimensional image applications

4. Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising

5. Target Detection With Unconstrained Linear Mixture Model and Hierarchical Denoising Autoencoder in Hyperspectral Imagery

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hyperspectral Anomaly Detection Based on Spectral Similarity Variability Feature;Sensors;2024-08-30

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