TY - GEN
T1 - Potential of Topographic Measurement by Time-Series Loose Distributed SAR Interferometry
AU - Zhang, Yiran
AU - Lin, Kuan
AU - Li, Yuanhao
AU - Hu, Cheng
AU - Chen, Zhiyang
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The development of distributed synthetic aperture radar interferometry (InSAR) brings further prospects for future Earth observation, especially for high-resolution topographic measurement. However, it is difficult and costly to control tight formation flying, so considering loose distributed InSAR is significant. Then, multiple phase error and atmospheric phase, which cannot be eliminated by loose formation flying and have non-stationary and non-Gaussian features, should be disposed properly to retrieve accurate digital elevation models (DEM). With respect to the foregoing, utilizing spatiotemporal joint estimation, a new DEM retrieval method based on the particle filter (PF) is proposed. It has been validated by simulation experiments that the proposed method is capable of retrieving high-accuracy and high-resolution topographic measurement even under non-stationary and non-Gaussian atmospheric phase and other multiple phase errors, proving the potential of high-quality topographic measurement in time-series loose distributed InSAR.
AB - The development of distributed synthetic aperture radar interferometry (InSAR) brings further prospects for future Earth observation, especially for high-resolution topographic measurement. However, it is difficult and costly to control tight formation flying, so considering loose distributed InSAR is significant. Then, multiple phase error and atmospheric phase, which cannot be eliminated by loose formation flying and have non-stationary and non-Gaussian features, should be disposed properly to retrieve accurate digital elevation models (DEM). With respect to the foregoing, utilizing spatiotemporal joint estimation, a new DEM retrieval method based on the particle filter (PF) is proposed. It has been validated by simulation experiments that the proposed method is capable of retrieving high-accuracy and high-resolution topographic measurement even under non-stationary and non-Gaussian atmospheric phase and other multiple phase errors, proving the potential of high-quality topographic measurement in time-series loose distributed InSAR.
KW - SAR
KW - distributed SAR system
KW - time-series InSAR
KW - topographic measurement
UR - http://www.scopus.com/inward/record.url?scp=85145584761&partnerID=8YFLogxK
U2 - 10.1109/CISS57580.2022.9971257
DO - 10.1109/CISS57580.2022.9971257
M3 - Conference contribution
AN - SCOPUS:85145584761
T3 - 3rd China International SAR Symposium, CISS 2022
BT - 3rd China International SAR Symposium, CISS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd China International SAR Symposium, CISS 2022
Y2 - 2 November 2022 through 4 November 2022
ER -