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Regularized Tensor Representative Coefficient Model for Hyperspectral Target Detection

  • Published:2023 Issue: Volume:20 Page:1-5
  • ISSN:1545-598X
  • Container-title:IEEE Geoscience and Remote Sensing Letters
  • language:
  • Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Shang Wenting1ORCID,Jouni Mohamad2ORCID,Wu Zebin1ORCID,Xu Yang1ORCID,Mura Mauro Dalla3ORCID,Wei Zhihui1ORCID

Affiliation:

1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. CNRS, Institute of Engineering Université Grenoble Alpes (Grenoble INP), GIPSA-Laboratory, Université Grenoble Alpes, Grenoble, France

3. GIPSA-Lab, Grenoble Institute of Technology, Saint Martin d’Héres, France

Funder

National Natural Science Foundation of China

Jiangsu Provincial Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Cited by 3 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. A Point-Set Topology-Based Information Entropy Estimation Method for Hyperspectral Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Target-Driven Iterative Autoencoder for Hyperspectral Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Hyperspectral Anomaly Detection via Sparsity of Core Tensor Under Gradient Domain;IEEE Transactions on Geoscience and Remote Sensing;2023
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