TY - GEN
T1 - A Refined Bilateral Filter For InSAR Phase Denoising
AU - Chen, Zhizhou
AU - Sun, Tao
AU - Wang, Zhen
AU - Chen, Haolong
AU - Zhao, Jian
AU - Ding, Zegang
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Interferometric synthetic aperture radar (InSAR) is a powerful tool for terrain mapping, which can obtain the digital elevation model(DEM) by two or more SAR images. Phase filtering technology can improve the accuracy of interferometric phase, which determines the quality of the DEM. However, the traditional phase filtering methods struggle to balance noise suppression and terrain detail preservation. To solve this problem, this paper proposes a refined bilateral filter for InSAR phase. The main contributions are summarized into two aspects. Firstly, the bilateral filtering method is extended from real domain to complex domain. It consists of spatial and value kernels, which can balance noise suppression and detail preservation. Secondly, a refined bilateral filter based on nested processing is proposed. It embeds the spatial kernel in the filtering of value kernel, which can achieve high-accuracy phase estimation. Compared to the traditional filtering methods, the proposed method can simultaneously maintain the details and suppress phase noise. Computer simulations and real airborne InSAR data validated the proposed method.
AB - Interferometric synthetic aperture radar (InSAR) is a powerful tool for terrain mapping, which can obtain the digital elevation model(DEM) by two or more SAR images. Phase filtering technology can improve the accuracy of interferometric phase, which determines the quality of the DEM. However, the traditional phase filtering methods struggle to balance noise suppression and terrain detail preservation. To solve this problem, this paper proposes a refined bilateral filter for InSAR phase. The main contributions are summarized into two aspects. Firstly, the bilateral filtering method is extended from real domain to complex domain. It consists of spatial and value kernels, which can balance noise suppression and detail preservation. Secondly, a refined bilateral filter based on nested processing is proposed. It embeds the spatial kernel in the filtering of value kernel, which can achieve high-accuracy phase estimation. Compared to the traditional filtering methods, the proposed method can simultaneously maintain the details and suppress phase noise. Computer simulations and real airborne InSAR data validated the proposed method.
KW - bilateral filter
KW - detail preservation
KW - Interferometric SAR
KW - phase filtering
UR - http://www.scopus.com/inward/record.url?scp=86000021134&partnerID=8YFLogxK
U2 - 10.1109/ICSIDP62679.2024.10869086
DO - 10.1109/ICSIDP62679.2024.10869086
M3 - Conference contribution
AN - SCOPUS:86000021134
T3 - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
BT - IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Y2 - 22 November 2024 through 24 November 2024
ER -