SAR‐IRGF: A novel improved rolling guidance filter for the synthetic aperture radar image

Inspired by the framework of the rolling guidance filter (RGF), a novel improved RGF for synthetic aperture radar (SAR) images is proposed in this letter, named SAR‐IRGF. Based on the model of additive noise, the RGF has the complete control of detailed smoothing under a scale measure for optical im...

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Bibliographic Details
Published inElectronics letters Vol. 58; no. 22; pp. 828 - 830
Main Authors Li, Jiamu, Wang, Zijian, Yu, Wenbo, Yu, Zhongjun
Format Journal Article
LanguageEnglish
Published Stevenage John Wiley & Sons, Inc 01.10.2022
Wiley
Subjects
Image filters
Noise control
Noise measurement
Radar imaging
Synthetic aperture radar
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Summary:Inspired by the framework of the rolling guidance filter (RGF), a novel improved RGF for synthetic aperture radar (SAR) images is proposed in this letter, named SAR‐IRGF. Based on the model of additive noise, the RGF has the complete control of detailed smoothing under a scale measure for optical images. However, the speckle is well known as a multiplicative noise, which invalidates the RGF for SAR images. In this letter, an appropriate edge guidance is utilized to optimize the RGF for SAR image denoising. Compared with the original version, better convergence is achieved. Experimental results on natural Ku‐band airborne SAR images show that the proposed SAR‐IRGF reduces more speckle while sharpening the edges effectively. Simultaneously, the SAR‐IRGF demonstrates a significant nearly 5.5‐fold improvement than RGF in the equivalent number of looks (ENL).
ISSN:0013-5194
1350-911X
DOI:10.1049/ell2.12628