Abstract One problem in using the quadratic polynomial model for removing orbital errors is that it is necessary to assume the distribution properties of other interference phase. So, a method based on wavelet multi-scale analysis is proposed to remove orbital errors. Based on long wavelength and low frequency characteristics of orbital error phase, the method filters the phase with shortest wavelength compared to the orbital error in different scale spaces. Then, the robust least square method is used to estimate the parameters of the quadratic polynomial model in order to reduce the influence of residual terrain error phase on orbital errors polynomial fitting. The results show that the corrected interferograms contain less trend error, with better removal effect and higher reliability.
HE Yonghong,JIN Pengwei. Orbit Error Correction Algorithm Based on Wavelet Robust Least Square Estimation and Its Application in DEM[J]. jgg, 2020, 40(12): 1273-1276.
HE Yonghong,JIN Pengwei. Orbit Error Correction Algorithm Based on Wavelet Robust Least Square Estimation and Its Application in DEM[J]. jgg, 2020, 40(12): 1273-1276.