3D scattering image reconstruction based on measurement optimization of a radar network-Reference-Cited by-同舟云学术

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3D scattering image reconstruction based on measurement optimization of a radar network

Published:2020-05-28 Issue:7 Volume:11 Page:697-706
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Kang Le¹,Luo Ying¹²,Zhang Qun¹²,Liu Xiao-Wen³,Liang Bi-Shuai¹

Affiliation:

1. Institute of Information and Navigation, Air Force Engineering University, Xi’an, China

2. The Key Laboratory for Information Science of Electromagnetic Waves, Fudan University, Shanghai, China

3. School of Information and Communications, National University of Defence Technology, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2020.1757781

Reference10 articles.

1. Measurement Matrix Optimization for ISAR Sparse Imaging Based on Genetic Algorithm

2. Joint Cross-Range Scaling and 3D Geometry Reconstruction of ISAR Targets Based on Factorization Method

3. Task Allocation Optimization for Multi-Target ISAR Imaging in Radar Network

4. Reconstruction of Three-Dimensional Images Based on Estimation of Spinning Target Parameters in Radar Network

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Measurement Matrix Optimization Based on Target Prior Information for Radar Imaging;IEEE Sensors Journal;2023-05-01

2. Three-Dimensional Geometry Reconstruction Method from Multi-View ISAR Images Utilizing Deep Learning;Remote Sensing;2023-03-31

3. Three-Dimensional Geometry Reconstruction Method for Slowly Rotating Space Targets Utilizing ISAR Image Sequence;Remote Sensing;2022-02-25

4. Resource scheduling algorithm optimization for multitarget inverse synthetic aperture radar imaging in radar network;Journal of Applied Remote Sensing;2021-03-31

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