UADNet: A Joint Unmixing and Anomaly Detection Network Based on Deep Clustering for Hyperspectral Image-Reference-Cited by-同舟云学术

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UADNet: A Joint Unmixing and Anomaly Detection Network Based on Deep Clustering for Hyperspectral Image

Published:2024 Issue: Volume:62 Page:1-19
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Wendi¹^ORCID,Ma Yong¹^ORCID,Wang Xiaozhu²,Huang Jun¹^ORCID,Chen Qihai³,Li Hao⁴^ORCID,Mei Xiaoguang¹^ORCID

Affiliation:

1. Electronic Information School, Wuhan University, Wuhan, China

2. School of Data Science, The Chinese University of Hong Kong at Shenzhen, Shenzhen, China

3. Tsinghua Innovation Center in Zhuhai, Zhuhai, China

4. College of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan, China

Funder

Natural Science Foundation of Guangdong Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10466610.pdf?arnumber=10466610

Reference47 articles.

1. Hyperspectral Remote Sensing Data Analysis and Future Challenges

2. Single-Source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification

3. Language-Aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification

4. Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification

5. Morphological Transformation and Spatial-Logical Aggregation for Tree Species Classification Using Hyperspectral Imagery

Cited by 2 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. SSA-LHCD: A Singular Spectrum Analysis-Driven Lightweight Network with 2-D Self-Attention for Hyperspectral Change Detection;Remote Sensing;2024-06-27

2. TDWCNet: Triple UNet With Dual-Window Convolution for Hyperspectral Anomaly Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

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