Next Article in Journal
3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems
Next Article in Special Issue
Fourier Domain Anomaly Detection and Spectral Fusion for Stripe Noise Removal of TIR Imagery
Previous Article in Journal
Volume Variations of Small Inland Water Bodies from a Combination of Satellite Altimetry and Optical Imagery
Previous Article in Special Issue
Numerical Focusing of a Wide-Field-Angle Earth Radiation Budget Imager Using an Artificial Neural Network
Article

The Impact of SAR Parameter Errors on the Ionospheric Correction Based on the Range-Doppler Model and the Split-Spectrum Method

by 1,2,3, 1,2,3,*, 4, 5, 1,2 and 1,2
1
Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
2
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
3
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
4
China Centre for Resources Satellite Data and Application, Beijing 100094, China
5
National Lab of Radar Signal Processing, Xidian University, Xi’an 710071, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(10), 1607; https://0-doi-org.brum.beds.ac.uk/10.3390/rs12101607
Received: 9 April 2020 / Revised: 12 May 2020 / Accepted: 15 May 2020 / Published: 18 May 2020
(This article belongs to the Special Issue Correction of Remotely Sensed Imagery)
Interferometric synthetic aperture radar (InSAR) products may be significantly distorted by microwave signals traveling through the ionosphere, especially with long wavelengths. The split-spectrum method (SSM) is used to separate the ionospheric and the nondispersive phase terms with lower and higher spectral sub-band interferogram images. However, the ionospheric path delay phase is very delicate to the synthetic aperture radar (SAR) parameters including orbit vectors, slant range, and target height. In this paper, we get the impact of SAR parameter errors on the ionospheric phase by two steps. The first step is getting the derivates of geolocation with reference to SAR parameters based on the range-Doppler (RD) imaging model and the second step is calculating the derivates of the ionospheric phase delay with respect to geometric positioning. Through the numerical simulation, we demonstrate that the deviation of ionospheric phase has a linear relationship with SAR parameter errors. The experimental results show that the estimation of SAR parameters should be accurate enough since the parameter errors significantly affect the performance of ionospheric correction. The root mean square error (RMSE) between the corrected differential interferometric SAR (DInSAR) phase with SAR parameter errors and the corrected DInSAR phase without parameter errors varies from centimeter to decimeter level with the L-band data acquired by the Advanced Land Observing Satellite (ALOS) Phased Array type L-band SAR (PALSAR) over Antofagasta, Chile. Furthermore, the effectiveness of SSM can be improved when SAR parameters are accurately estimated. View Full-Text
Keywords: interferometric synthetic aperture radar; ionospheric correction; split-spectrum method; range-Doppler imaging model; parameter errors interferometric synthetic aperture radar; ionospheric correction; split-spectrum method; range-Doppler imaging model; parameter errors
Show Figures

Graphical abstract

MDPI and ACS Style

Dou, F.; Lv, X.; Chen, Q.; Sun, G.; Yun, Y.; Zhou, X. The Impact of SAR Parameter Errors on the Ionospheric Correction Based on the Range-Doppler Model and the Split-Spectrum Method. Remote Sens. 2020, 12, 1607. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12101607

AMA Style

Dou F, Lv X, Chen Q, Sun G, Yun Y, Zhou X. The Impact of SAR Parameter Errors on the Ionospheric Correction Based on the Range-Doppler Model and the Split-Spectrum Method. Remote Sensing. 2020; 12(10):1607. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12101607

Chicago/Turabian Style

Dou, Fangjia, Xiaolei Lv, Qi Chen, Guangcai Sun, Ye Yun, and Xiao Zhou. 2020. "The Impact of SAR Parameter Errors on the Ionospheric Correction Based on the Range-Doppler Model and the Split-Spectrum Method" Remote Sensing 12, no. 10: 1607. https://0-doi-org.brum.beds.ac.uk/10.3390/rs12101607

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop