A Generalized Low-Rank Double-Tensor Nuclear Norm Completion Framework for Infrared Small Target Detection-Reference-Cited by-同舟云学术

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A Generalized Low-Rank Double-Tensor Nuclear Norm Completion Framework for Infrared Small Target Detection

Published:2022-08 Issue:4 Volume:58 Page:3297-3312
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Deng Lizhen¹^ORCID,Xu Dongyuan¹,Xu Guoxia²^ORCID,Zhu Hu³^ORCID

Affiliation:

1. National Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Department of Computer Science, Norwegian University of Science and Technology, Gjovik, Norway

3. Jiangsu Province Key Lab on Image Processing and Image Communication, Nanjing University of Posts and Telecommunications, Nanjing, China

Funder

National Natural Science Foundation of China

NUPTSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/9852357/09699018.pdf?arnumber=9699018

Reference59 articles.

1. LRR for Subspace Segmentation via Tractable Schatten-$p$ Norm Minimization and Factorization

2. Infrared Patch-Tensor Model With Weighted Tensor Nuclear Norm for Small Target Detection in a Single Frame

3. An efficient infrared small target detection method based on visual contrast mechanism;chen;IEEE Geosci Remote Sens Lett,2016

4. Adaptive Morphological Method for Clutter Elimination to Enhance and Detect Infrared Small Target

5. Infrared small target detection and tracking under the conditions of dim target intensity and clutter background

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