Satellite-borne laser altimeter data denoising method

Abstract

The invention relates to a satellite-borne laser altimeter data denoising method. The satellite-borne laser altimeter data denoising method is characterized by including the following steps that S1, satellite-borne laser altimeter data are obtained; S2, the satellite-borne laser altimeter data are decomposed into a plurality of intrinsic mode components and a monotonic remainder term based on empirical mode decomposition; S3, a Hurst exponential value of each intrinsic mode component is calculated; and S4, based on the Hurst exponential value of each intrinsic mode component, a pre-establish optimization strategy is adopted to obtain de-noised satellite-borne laser altimeter data. Compared with the prior art, the satellite-borne laser altimeter data denoising method can adaptively denoisethe satellite-borne laser altimeter data, and has the advantages of good stability and high accuracy.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a data denoising method of a spaceborne laser altimeter. Background technique [0002] In the data processing of space-borne laser altimeter, the processing and decomposition of the full laser waveform is the key to improving the ranging accuracy and accurately retrieving the characteristic parameters (such as slope, roughness, etc.) of ground objects. Since the existence of background noise and thermal noise will interfere with the extraction of waveform characteristic parameters and affect the ranging accuracy, the research on the full waveform denoising method of laser altimetry is of great significance. At present, the main methods for full waveform denoising include Fourier low-pass filtering, wavelet filtering, etc. Fourier low-pass filtering can effectively eliminate high-frequency noise, but the setting of the cut-off frequency that can reflect the rich details of the origi...

AI Technical Summary

Problems solved by technology

Since the existence of background noise, thermal noise, etc. will interfere with the extraction of waveform feature parameters and affect its ranging accuracy, the research on laser altimetry full waveform denoising method is of great significance

At present, the main methods for full waveform denoising include Fourier low-pass filtering, wavelet filtering, etc. Fourier low-pass filtering can effectively eliminate high-frequency noise, but the setting of the cut-off frequency that can reflect the rich details of the original waveform needs continuous experimentation Definitely; the selection of denoising parameters such as different wavelet basis functions, decomposition scales, and reconstruction methods has a great influence on the effect of wavelet denoising and denoising, and the selected wavelet basis functions are not self-adaptive when used to analyze all waveform data sex

The denoising effect of Gaussian filtering depends on the width of the kernel function. If the width is too small, the denoising effect is weak, and if the width is too large, it will cause the loss of effective signals.

The denoising effect and waveform feature preservation cannot be taken into account. The weakening and width expansion of the waveform will affect the accuracy of the waveform decomposition; Distortion of echo data

Images