A Novel Adaptive InSAR Phase Filtering Method Based on Complexity Factors

XU Huaping; WANG Yuan; LI Chunsheng; ZENG Guobing; LI Shuo; LI Shuang; REN Chong

doi:10.23919/cje.2021.00.280

Volume 32 Issue 5

Sep. 2023

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Article Navigation > Chinese Journal of Electronics > 2023 > 32(5): 1089-1105

XU Huaping, WANG Yuan, LI Chunsheng, et al., “A Novel Adaptive InSAR Phase Filtering Method Based on Complexity Factors,” Chinese Journal of Electronics, vol. 32, no. 5, pp. 1089-1105, 2023, doi: 10.23919/cje.2021.00.280

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XU Huaping, WANG Yuan, LI Chunsheng, et al., “A Novel Adaptive InSAR Phase Filtering Method Based on Complexity Factors,” Chinese Journal of Electronics, vol. 32, no. 5, pp. 1089-1105, 2023, doi: 10.23919/cje.2021.00.280

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A Novel Adaptive InSAR Phase Filtering Method Based on Complexity Factors

doi: 10.23919/cje.2021.00.280

XU Huaping^1
,,
WANG Yuan^1
,,
LI Chunsheng^1
,,
ZENG Guobing^1
,,
LI Shuo^2
,,
LI Shuang^3
,,
REN Chong^4
,

1.
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
2.
Nanjing Research Institute of Electronics Technology, Nanjing 211113, China
3.
Beijing Institute of Radio Measurement, Beijing 100191, China
4.
China Academy of Launch Vehicle Technology, Beijing 100076, China

Funds: This work was supported by the Shanghai Aerospace Science and Technology Innovation Fund (SAST2019-026)

More Information

Author Bio:
Huaping XU received the B.S. degree in electronic engineering in 1998 and the Ph.D. degree in communication and information system in 2003 both from Beihang University. She is currently a Professor with the School of Electronic and Information Engineering, Beihang University. She has published more than 100 journal and conference papers, and a research monograph about signal processing. Her current research interests include SAR interferometry, differential SAR interferometry, image processing, and radar waveform design. (Email: xuhuaping@buaa.edu.cn)

Yuan WANG (corresponding author) received the B.S. degree in School of Information and Communication Engineering from Communication University of China, Beijing, China, in 2019. She is currently working toward the Ph.D. degree with the School of Electronic and Information Engineering, Beihang University. Her current research interests include SAR interferometry, and interferometric SAR image processing. (Email: wyuan@buaa.edu.cn)

Chunsheng LI received the Ph.D. degree in signal and information processing from Beihang University in 1998. Since 2005, he is a Professor with the School of Electronics and Information Engineering, Beihang University. He has authored more than 100 journal and conference papers and four books. His research interests include analysis and simulation of SAR satellite, highresolution image formation, and multimodal remote sensing data fusion. (Email: lics@buaa.edu.cn)

Guobing ZENG received B.S. degree in aircraft engineering from Beihang University in 2019. He is currently pursuing the Ph.D. degree in signal and information processing in the School of Electronic and Information Engineering, Beihang University. His current research interests include SAR interferometry and Differential SAR interferometry. (Email: zengguobing@buaa.edu.cn)

Shuo LI received the M.S. degree from China University of Mining and Technologyì in 2015 and Ph.D. degree from the School of Electronic and Information Engineering, Beihang University in 2021. He is currently working in the Nanjing Research Institute of Electronics Technology, and is mainly engaged in the design of space-based interferometric SAR system. (Email: shuo201@buaa.edu.cn)

Shuang LI received the Ph.D. degree in communication and information system from Beihang University in 2013. She is currently a Researcher in Beijing Institute of Radio Measurement. She has published more than 20 academic papers and applied for 5 patents. Her current research interests include space-based interferometric SAR system, data processing and high-precision 3D information application technology. (Email: lishuang0108@sohu.com)

Chong REN recieved the B.S. degree in materials science and engineering from University of Science and Technology Beijing in 2003 and Ph.D. degree in materials science and engineering from Tsinghua University in 2012. She is currently a Deputy Chief Designer in the China Academy of Launch Vehicle Technology. Her current research interests focus on thermal protection design for reusable launch verhicle. (Email: 674686864@qq.com)
Received Date: 2021-08-07
Accepted Date: 2022-07-01

Available Online: 2022-07-11

Publish Date: 2023-09-05

Abstract

Abstract

Phase filtering is an essential step in interferometric synthetic aperture radar (InSAR) imaging. For interferograms of complicated and changeable terrain, the increasing resolution of InSAR images makes it even more difficult. In this paper, a novel adaptive InSAR phase filtering method based on complexity factors is proposed. Firstly, three complexity factors based on the noise distribution and terrain slope information of the interferogram are selected. The complexity indicator composed of three complexity factors is used to guide the adaptive selection of the most suitable and effective filtering strategies for different areas. Then, the complexity scalar is calculated, which can guide the adaptive local fringe frequency estimation and adaptive parameters calculation in different filter methods. Finally, validations are performed on the simulated and real data. The performance comparison between the other three representative phase filtering method and the proposed method have validated the effectiveness and superiority of the proposed method.
- Interferometric synthetic aperture radar,
- Adaptive,
- Phase filtering,
- Complexity Factors,
- Local fringe frequency (LFF)

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References(45)

References

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