Weighted Discriminative Collaborative Competitive Representation With Global Dictionary for Hyperspectral Target Detection-Reference-Cited by-同舟云学术

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Weighted Discriminative Collaborative Competitive Representation With Global Dictionary for Hyperspectral Target Detection

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Rong¹^ORCID,Wu Jiake¹^ORCID,Zhu Dehui²^ORCID,Du Bo³^ORCID

Affiliation:

1. School of Geography and Planning, Sun Yat-sen University, Guangzhou, China

2. National Key Laboratory of Automatic Target Recognition, College of Electrical Science and Technology, National University of Defense Technology, Changsha, China

3. School of Computer Science, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, Wuhan University, Wuhan, China

Funder

National Natural Science Foundation of China

China National Postdoctoral Program for Innovative Talents

Fundamental Research Funds for the Central Universities, Sun Yat-sen University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10608187.pdf?arnumber=10608187

Reference61 articles.

1. Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)

2. Detection algorithms for hyperspectral imaging applications

3. Hyperspectral image data analysis

4. Hyperspectral Remote Sensing Data Analysis and Future Challenges

5. Signal processing for hyperspectral image exploitation

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