Bilateral independent cross-calibration method of the satellite-borne imaging altimeter

BAI Zhuo; ZHANG Haoxin; MA Chunyong; ZHAO Chaofang; CHEN Ge

doi:10.11834/jrs.20221170

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Bilateral independent cross-calibration method of the satellite-borne imaging altimeter
Vol. 27, Issue 4, Pages: 919-931(2023)
Received：04 April 2021，

Published：07 April 2023
DOI： 10.11834/jrs.20221170
稿件说明：

移动端阅览

白卓，张颢馨，马纯永，赵朝方，陈戈.2023.星载成像高度计双侧独立交叉定标方法.遥感学报，27（4）： 919-931 DOI： 10.11834/jrs.20221170.

Bai Z，Zhang H X， Ma C Y， Zhao C F and Chen G. 2023. Bilateral independent cross-calibration method of the satellite-borne imaging altimeter. National Remote Sensing Bulletin， 27（4）：919-931 DOI： 10.11834/jrs.20221170.

摘要

为通过数据处理提高SWOT的观测精度，本文采用双侧刈幅独立交叉定标对相位误差和倾角误差复合输入的情况进行误差估计。本文选取横跨经度100°和纬度60°的南太平洋东部地区，以HYCOM数据作为海洋真值，根据AVISO官网提供的SWOT和Jason-2（2016年10月前）轨道参数利用SWOT

simulator进行仿真采样，进行刈幅自交叉和星下点刈幅交叉实验。实验将90%的误差校正到4 cm内，近75%的交叉点残差的标准差降到2 cm内，较解算前提升一倍，表明在仪器精度较低时，双侧刈幅独立交叉定标的方法能够科学有效估计两种误差的复合输入值，显著降低了误差水平。

Abstract

The Surface Water and Ocean Topography (SWOT) mission

which is scheduled to launch in 2022

will carry a Ka-band Radar Interferometer to characterize the ocean mesoscale and submesoscale circulation. The observation errors must be reduced to realize the observation target of the SWOT mission. Among the errors

the baseline inclination error caused by the inaccuracy of the baseline inclination measurement and the phase error induced by the phase mismatch in the process of interferometric imaging are difficult to eliminate. These two errors make the sea surface height measurement in the swath inaccurate and identification of the characteristics of mesoscale phenomena challenging. Therefore

the purpose of this article is to correct phase error and baseline roll error to achieve the observation goal.

Both errors are linear with across track distance from nadir. Assuming that all errors

except the phase and roll errors

have met the error budget requirements

a bilateral independent cross-calibration method is proposed to detect and mitigate the two spatial coherence errors. First

the errors of the left and right swaths in the experiment are calculated. Second

the observed values in the cross region are subtracted to reduce the influence of the ocean signal. Finally

the errors are estimated based on their linear correlation with the across track distance. The orbit parameters of SWOT and Jason-2 (before October 2016) provided by Archiving

Verification

and Interpretation of Satellite Oceanographic data are used for along-track sampling. The errors in the 25-day SWOT sample data are estimated by using the self-crossover and crossover (with Jason-2) methods.In the SWOT self-crossover

more than 90% of the error was corrected from 8 cm to 4 cm

and approximately 73% of the intersection-region standard deviation was adjusted from 6 cm to 2 cm.

In the SWOT crossover with Jason-2

approximately 86% of the error was corrected from 8 cm to 4 cm

and approximately 55% of the intersection-region standard deviation was adjusted from 6 cm to 2 cm. Based on the absolute value and standard deviation

the error inversion effect of the self-crossover and crossover (with Jason-2) methods on the intersection point is good. Results show that the bilateral independent cross-calibration method effectively estimates the overall error and significantly reduces the error level in the case of low instrument accuracy.The crossover method weakens the influence of a larger portion of the ocean signal

increases the weight of the error in the calculation process

and calculates the error through the matrix. Given that the characteristics that the phase error is different from the baseline inclination error

the left and right swaths are cross-calibrated separately to calculate the gradient slope value in the cross-track direction of the unilateral swath.

The calculated gradient slope value can be directly back-calculated to obtain the overall error and eliminate the error. The bilateral independent cross-calibration method not only inherits the ability of the cross-calibration algorithm to correct the baseline inclination error but also scientifically and effectively corrects the phase error. The experiment also suggests that the cross-calibration formula can be optimized based on the error characteristics to estimate other errors with gradient changes in the across track and contributes to error reduction.

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Keywords

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