Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction-Reference-Cited by-同舟云学术

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Hyperspectral Anomaly Detection via Background and Potential Anomaly Dictionaries Construction

Published:2019-04 Issue:4 Volume:57 Page:2263-2276
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Huyan Ning^ORCID,Zhang Xiangrong^ORCID,Zhou Huiyu,Jiao Licheng

Funder

National Natural Science Foundation of China

U.K. EPSRC

Royal Society-Newton Advanced Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/8674707/08519775.pdf?arnumber=8519775

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3. Hyperspectral Anomaly Detection via Low-Rank Representation with Dual Graph Regularizations and Adaptive Dictionary;Remote Sensing;2024-05-21

4. Generalized Nonconvex Hyperspectral Anomaly Detection via Background Representation Learning with Dictionary Constraint;SIAM Journal on Imaging Sciences;2024-04-12

5. Background covariance discriminative dictionary learning for hyperspectral target detection;International Journal of Applied Earth Observation and Geoinformation;2024-04

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