A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar
Synthetic aperture radar (SAR), as an active microwave sensor, can inevitably receive radio frequency interference (RFI) generated by various electromagnetic equipment. When the SAR system receives RFI, it will affect SAR imaging and limit the application of SAR images. As a kind of RFI mitigation m...
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MDPI AG
2023-02-01
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Online Access: | https://www.mdpi.com/2072-4292/15/3/846 |
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author | Zewen Fu Hengrui Zhang Jianhui Zhao Ning Li Fengbin Zheng |
author_facet | Zewen Fu Hengrui Zhang Jianhui Zhao Ning Li Fengbin Zheng |
author_sort | Zewen Fu |
collection | DOAJ |
description | Synthetic aperture radar (SAR), as an active microwave sensor, can inevitably receive radio frequency interference (RFI) generated by various electromagnetic equipment. When the SAR system receives RFI, it will affect SAR imaging and limit the application of SAR images. As a kind of RFI mitigation method, notch filtering method is a classical method with high efficiency and robust performance. However, the notch filtering methods pay no attention to the protection of useful signals. This paper proposed a modified 2-D notch filter based on image segmentation for RFI mitigation with signal-protected capability. (1) The adaptive gamma correction (AGC) approach was utilized to enhance the SAR image with RFI in the range-frequency and azimuth-time domain. (2) The modified selective binary and Gaussian filtering regularized level set (SBGFRLS) model was utilized to further process the image after AGC to accurately extract the contour of the useful signals with interference, which is more conducive to protecting the useful signals without interference. (3) The Generalized Singular Value Thresholding (GSVT) based low-rank sparse decomposition (LRSD) model was utilized to separate the RFI signals and the useful signals. Then, the useful signals were restored to the raw data. The simulation experiments and measured data experiments show that the proposed method can effectively mitigate RFI and protect the useful signals whether there are RFI with single source or multiple sources. |
first_indexed | 2024-03-11T09:27:09Z |
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id | doaj.art-5023bae5c8784202a8f63c8e646152a7 |
institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-11T09:27:09Z |
publishDate | 2023-02-01 |
publisher | MDPI AG |
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series | Remote Sensing |
spelling | doaj.art-5023bae5c8784202a8f63c8e646152a72023-11-16T17:55:06ZengMDPI AGRemote Sensing2072-42922023-02-0115384610.3390/rs15030846A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture RadarZewen Fu0Hengrui Zhang1Jianhui Zhao2Ning Li3Fengbin Zheng4Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng 475004, ChinaHenan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng 475004, ChinaHenan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng 475004, ChinaHenan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng 475004, ChinaCollege of Computer and Information Engineering, Henan University, Kaifeng 475004, ChinaSynthetic aperture radar (SAR), as an active microwave sensor, can inevitably receive radio frequency interference (RFI) generated by various electromagnetic equipment. When the SAR system receives RFI, it will affect SAR imaging and limit the application of SAR images. As a kind of RFI mitigation method, notch filtering method is a classical method with high efficiency and robust performance. However, the notch filtering methods pay no attention to the protection of useful signals. This paper proposed a modified 2-D notch filter based on image segmentation for RFI mitigation with signal-protected capability. (1) The adaptive gamma correction (AGC) approach was utilized to enhance the SAR image with RFI in the range-frequency and azimuth-time domain. (2) The modified selective binary and Gaussian filtering regularized level set (SBGFRLS) model was utilized to further process the image after AGC to accurately extract the contour of the useful signals with interference, which is more conducive to protecting the useful signals without interference. (3) The Generalized Singular Value Thresholding (GSVT) based low-rank sparse decomposition (LRSD) model was utilized to separate the RFI signals and the useful signals. Then, the useful signals were restored to the raw data. The simulation experiments and measured data experiments show that the proposed method can effectively mitigate RFI and protect the useful signals whether there are RFI with single source or multiple sources.https://www.mdpi.com/2072-4292/15/3/846synthetic aperture radarradio frequency interferencenotch filterimage segmentationlow-rank sparse decomposition |
spellingShingle | Zewen Fu Hengrui Zhang Jianhui Zhao Ning Li Fengbin Zheng A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar Remote Sensing synthetic aperture radar radio frequency interference notch filter image segmentation low-rank sparse decomposition |
title | A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar |
title_full | A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar |
title_fullStr | A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar |
title_full_unstemmed | A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar |
title_short | A Modified 2-D Notch Filter Based on Image Segmentation for RFI Mitigation in Synthetic Aperture Radar |
title_sort | modified 2 d notch filter based on image segmentation for rfi mitigation in synthetic aperture radar |
topic | synthetic aperture radar radio frequency interference notch filter image segmentation low-rank sparse decomposition |
url | https://www.mdpi.com/2072-4292/15/3/846 |
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