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:2024-07-07 Issue: Volume: Page:8209-8213
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Sun Xiaotong¹,Zhuang Lina²,Gao Lianru²,Gao Hongmin¹,Sun Xu²,Liu Yi³,Liu Yao⁴,Zhang Bing¹

Affiliation:

1. Hohai University,Information Department,Nanjing,China,211100

2. Chinese Academy of Sciences,Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute,Beijing,China,100094

3. Det Norsk Veritas,Emerging Assurance Technologies Lab, Group of Research & Development

4. Land Satellite Remote Sensing Application Center,Beijing,China,100048

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641092.pdf?arnumber=10641092

Reference28 articles.

1. Anomaly detection from hyperspectral imagery

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

3. Progress and Challenges in Intelligent Remote Sensing Satellite Systems

4. BS³LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection

5. Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

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