De-convolution and De-noising of SAR Based GPS Images Using Hybrid Particle Swarm Optimization-Reference-Cited by-同舟云学术

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De-convolution and De-noising of SAR Based GPS Images Using Hybrid Particle Swarm Optimization

Published:2023-01 Issue:1 Volume:32 Page:166-176
ISSN:2075-5597
Container-title:Chinese Journal of Electronics
language:
Short-container-title:Chinese J. Elect.

Author:

Sadiq Rizwan¹,Qureshi Muhammad Bilal²,Khan Muhammad Mohsin³

Affiliation:

1. Koc University,Dept. of Electrical and Electronic Engineering,Istanbul,Turkey

2. COMSATS University,Dept. of Electrical and Computer Engineering,Islamabad,Abbottabad Campus,Pakistan

3. Yale University,Dept. of Radiology and Biomedical Imaging,CT,USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9970761/10038784/10038787.pdf?arnumber=10038787

Reference29 articles.

1. Generalized approach to resolution analysis in BSAR

2. Deconvolution of plant type(s) for homeland security enforcement using remote sensing on a UAV collection platform;tindall;Homeland Security Affairs,2006

3. A signal processing view of strip-mapping synthetic aperture radar

4. GPS-Based Time & Phase Synchronization Processing for Distributed SAR

5. PSO Based Blind Deconvolution Technique of Image Restoration Using Cepstrum Domain of Motion Blur

Cited by 1 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. Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image;Chinese Journal of Electronics;2024-01

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