BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection-Reference-Cited by-同舟云学术

BockNet: Blind-Block Reconstruction Network With a Guard Window for Hyperspectral Anomaly Detection

Published:2023 Issue: Volume:61 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Degang¹^ORCID,Zhuang Lina¹^ORCID,Gao Lianru¹^ORCID,Sun Xu¹^ORCID,Huang Min¹,Plaza Antonio²^ORCID

Affiliation:

1. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. Department of Technology of Computers and Communications, Escuela Politécnica, Hyperspectral Computing Laboratory, University of Extremadura, Cáceres, Spain

Funder

National Natural Science Foundation of China

Spanish Ministerio de Ciencia e Innovación

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10330742.pdf?arnumber=10330742

Reference78 articles.

1. Multipixel Anomaly Detection With Unknown Patterns for Hyperspectral Imagery

2. Attribute Restoration Framework for Anomaly Detection

3. Hyperspectral Anomaly Detection by Fractional Fourier Entropy

4. Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection

5. Ensemble and Random RX With Multiple Features Anomaly Detector for Hyperspectral Image

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