Next Article in Journal
Developing an Acoustic Sensing Yarn for Health Surveillance in a Military Setting
Next Article in Special Issue
A Preliminary Analysis of Wind Retrieval, Based on GF-3 Wave Mode Data
Previous Article in Journal
Tactile Estimation of Molded Plastic Plates Based on the Estimated Impulse Responses of Mechanoreceptive Units
Previous Article in Special Issue
Speckle Filtering of GF-3 Polarimetric SAR Data with Joint Restriction Principle
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(5), 1589; https://doi.org/10.3390/s18051589

Sidelobe Suppression with Resolution Maintenance for SAR Images via Sparse Representation

1
College of Electronic Science, National University of Defense Technology, No. 109 De Ya Road, Changsha 410073, China
2
China Electronic Technology Group Corporation (CETC), Wan Shou Road, Beijing 100000, China
*
Author to whom correspondence should be addressed.
Received: 4 April 2018 / Revised: 10 May 2018 / Accepted: 14 May 2018 / Published: 16 May 2018
(This article belongs to the Special Issue First Experiences with Chinese Gaofen-3 SAR Sensor)
View Full-Text   |   Download PDF [5617 KB, uploaded 19 May 2018]   |  

Abstract

Severe sidelobe interference is one of the major problems with traditional Synthetic Aperture Radar (SAR) imaging. In the observation scene of sea areas, the number of targets in the observation scene is so small that targets can be regarded as sparse. Taking this into account, a method of sidelobe suppression, on the basis of sparsity constraint regularization, is proposed to reduce sidelobes of Gaofen-3 (GF-3) images in sea areas of the image domain. This proposed method has a prominent sidelobe suppression effect with resolution maintenance and without destruction of amplitude and phase information. This method can also be applied to SAR images of other satellites. In addition to the employment of peak sidelobe ratio (PSLR) and integrated sidelobe ratio (ISLR) in evaluating sidelobe suppression level, AE (amplitude error) and PE (phase error) are firstly defined for the evaluation of amplitude and phase-preserving quality, respectively. Through the proposed method, AE and PE values are nearly unchanged and the PSLR and ISLR are significantly reduced. The method, as an important part of the quality-improvement project of GF-3, has been successfully applied to the sidelobe suppression of GF-3 data. View Full-Text
Keywords: peak sidelobe ratio (PSLR); integrated sidelobe ratio (ISLR); amplitude error (AE); phase error (PE); sidelobe suppression; resolution maintenance peak sidelobe ratio (PSLR); integrated sidelobe ratio (ISLR); amplitude error (AE); phase error (PE); sidelobe suppression; resolution maintenance
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Zhu, X.; He, F.; Ye, F.; Dong, Z.; Wu, M. Sidelobe Suppression with Resolution Maintenance for SAR Images via Sparse Representation. Sensors 2018, 18, 1589.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top