Hyperspectral anomaly detection with vision transformer and adversarial refinement-Reference-Cited by-同舟云学术

Hyperspectral anomaly detection with vision transformer and adversarial refinement

Published:2023-07-03 Issue:13 Volume:44 Page:4034-4057
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Xu Yating¹,Zhao Kai²,Zhang Liangang³,Zhu Mengyao¹,Zeng Dan¹

Affiliation:

1. Key Laboratory of Specialty Fiber Optics and Optical Access Networks, Shanghai Institute of Advanced Communication and Data Science, Shanghai University, Shanghai, China

2. Department of Radiological Sciences, University of California, Los Angeles, CA, USA

3. Shandong Port Group Co Ltd, Shandong, Qingdao, China

Funder

the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2229495

Reference51 articles.

1. Analysis of various optimizers on deep convolutional neural network model in the application of hyperspectral remote sensing image classification

2. Robust principal component analysis?

3. A cluster-based approach for detecting man-made objects and changes in imagery

4. Simultaneous Joint Sparsity Model for Target Detection in Hyperspectral Imagery

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