Hyperspectral Anomaly Detection via Sparsity of Core Tensor Under Gradient Domain-Reference-Cited by-同舟云学术

Hyperspectral Anomaly Detection via Sparsity of Core Tensor Under Gradient Domain

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:

Shang Wenting¹^ORCID,Peng Jiangjun²^ORCID,Wu Zebin¹^ORCID,Xu Yang¹^ORCID,Jouni Mohamad³^ORCID,Mura Mauro Dalla³^ORCID,Wei Zhihui¹^ORCID

Affiliation:

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

2. School of Mathematics and Statistics and the Ministry of Education Key Laboratory of Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China

3. CNRS, Grenoble Institute of Technology (Grenoble INP), Grenoble Images Speech Signals and Automatics Laboratory (GIPSA-Lab), Université Grenoble Alpes, Grenoble, 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

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10189873.pdf?arnumber=10189873

Reference61 articles.