SAR image interference suppression method by integrating change detection and subband spectral cancellation technology

被引：7
|
作者：
Li N. [1 ,2 ,3 ]
Lyu Z. [1 ,2 ,3 ]
Guo Z. [1 ,2 ,3 ]
机构：
[1] College of Computer and Information Engineering, Henan University, Kaifeng
[2] Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng
[3] Henan Engineering Research Center of Intelligent Technology and Application, Henan University, Kaifeng
来源：
Li, Ning | 2021年 / Chinese Institute of Electronics卷 / 43期
关键词：
Change detection; Radio frequency interference (RFI) suppression; Subband spectral cancellation (SSC); Synthetic aperture radar (SAR);
D O I：
10.12305/j.issn.1001-506X.2021.09.15
中图分类号：
学科分类号：
摘要：
The subband spectral cancellation (SSC) is an effective method to suppress radio frequency interference (RFI) of synthetic aperture radar (SAR). But it is easy to lose the image detail information while eliminating the interference, which affects the subsequent image interpretation. Therefore, based on the SSC method, combined with change detection technology, an improved SAR image interference suppression method is proposed. According to the improved log ratio change detection operator, the proposed method realizes the secondary detection of interference, eliminates the false alarm information in the interference image, and avoids the loss of useful signals in the image. Based on the wide-band mode interference SAR image of the European Space Agency Sentinel-1A satellite, the interference suppression and effect evaluation are carried out. The experimental results show that the proposed method can effectively suppress the interference and retain the SAR image details as much as possible, which proves the effectiveness of the proposed method. © 2021, Editorial Office of Systems Engineering and Electronics. All right reserved.
引用
收藏
页码：2484 / 2492
页数：8
相关论文
共 31 条
  • [1] MOREIRA A, PRATS-IRAOLA P, YOUNIS M, Et al., A tuto-rial on synthetic aperture radar, IEEE Geoscience and Remote Sensing Magazine, 1, 1, pp. 6-43, (2013)
  • [2] DENG Y K, YU W D, ZHANG H, Et al., Forthcoming spaceborne SAR development, Journal of Radars, 9, 1, pp. 1-33, (2020)
  • [3] DENG Y K, ZHAO F J, WANG Y., Brief analysis on the development and application of spaceborne SAR, Journal of Radars, 1, 1, pp. 1-10, (2012)
  • [4] HUANG Y, ZHAO B, TAO M L, Et al., Review of synthetic aperture radar interference suppression, Journal of Radars, 9, 1, pp. 86-106, (2020)
  • [5] TAO M L, SU J, HUANG Y, Et al., Mitigation of radio frequency interference in synthetic aperture radar data: current status and future trends, Remote Sensing, 11, 20, (2019)
  • [6] BRAUNSTEIN M, RALSTON J, SPARROW D A., Signal processing approaches to radio frequency interference (RFI) suppression, Algorithms for Synthetic Aperture Radar Imagery, 2230, pp. 190-208, (1994)
  • [7] GOLDEN A, WERNESS S A, DEGRAAF S R, Et al., Radio frequency interference removal in a VHF/UHF deramp SAR, Proceedings of SPIE-the International Society for Optical Engineering, 2487, pp. 84-95, (1995)
  • [8] LIU Z L, LIAO G S, YANG Z W., Time variant RFI suppression for SAR using iterative adaptive approach, IEEE Geo-science and Remote Sensing Letters, 10, 6, pp. 1424-1428, (2013)
  • [9] CAZZANIGA G, GUARNIERI A M., Removing RF interferences from P-band airplane SAR data, Proc.of the International Geoscience and Remote Sensing Symposium, pp. 1845-1847, (1996)
  • [10] WU W, XING W D, FANG C H, Et al., RFI suppression based on linear prediction in synthetic aperture radar data, IEEE Geoscience and Remote Sensing Letters, (2020)
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