Fast Algorithm for Inverse Two-Dimensional S Transform and Its Application in Time-Frequency Filtering for SAR Image Despeckling

GAO Fei; ZHANG Ye; WANG Jun; SUN Jinping

doi:10.1049/cje.2016.01.016

Volume 25 Issue 1

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GAO Fei, ZHANG Ye, WANG Jun, et al., “Fast Algorithm for Inverse Two-Dimensional S Transform and Its Application in Time-Frequency Filtering for SAR Image Despeckling,” Chinese Journal of Electronics, vol. 25, no. 1, pp. 100-105, 2016, doi: 10.1049/cje.2016.01.016

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GAO Fei, ZHANG Ye, WANG Jun, et al., “Fast Algorithm for Inverse Two-Dimensional S Transform and Its Application in Time-Frequency Filtering for SAR Image Despeckling,” Chinese Journal of Electronics, vol. 25, no. 1, pp. 100-105, 2016, doi: 10.1049/cje.2016.01.016

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Fast Algorithm for Inverse Two-Dimensional S Transform and Its Application in Time-Frequency Filtering for SAR Image Despeckling

doi: 10.1049/cje.2016.01.016

School of Electronic and Information Engineering, Beihang University, Beijing 100191, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61071139, No.61171122, No.61471019, No.61501011), the Aeronautical Science Foundation of China (No.20142051022), and the Pre-research Project (No.9140A07040515HK01009).

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Corresponding author: SUN Jinping (corresponding author) is currently a professor with the School of Electronic and Information Engineering, Beihang University. His research interests include high-resolution radar signal processing, image understanding, and robust beamforming. (Email: sunjinping@ buaa.edu.cn)
Received Date: 2014-01-20
Rev Recd Date: 2014-03-11
Publish Date: 2016-01-10

Abstract

Abstract

S transform is a time-frequency representation which has been applied in various fields, yet suffers the problem of time and resource consumption. In order to overcome this problem and facilitate its application in image analysis, we introduce a fast algorithm for inverse two-dimensional S transform. A two-dimensional S transform time-frequency filter for Synthetic aperture radar (SAR) image despeckling is proposed on the basis of this fast algorithm. Synthetic and actual SAR images are both used to quantitatively evaluate its performance. The proposed algorithm is compared with several classical algorithms with better results both in speckle noise reduction and detail preservation.
- Time-frequency representation,
- Fast algorithm,
- Two-dimensional S transform,
- Time-frequency filter,
- Synthetic aperture radar (SAR) image,
- Speckle noise reduction

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References(14)

References

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