Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis
Full-waveform decomposition is crucial for obtaining accurate satellite-ground distance, the accuracy of which is severely affected by noises. However, the traditional filters all depend on filtering parameters. This paper presents a new and adaptive method for denoising based on empirical mode deco...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-11-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/17538947.2019.1698665 |
| _version_ | 1797678572546031616 |
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| author | Zhijie Zhang Huan Xie Xiaohua Tong Hanwei Zhang Yang Liu Binbin Li |
| author_facet | Zhijie Zhang Huan Xie Xiaohua Tong Hanwei Zhang Yang Liu Binbin Li |
| author_sort | Zhijie Zhang |
| collection | DOAJ |
| description | Full-waveform decomposition is crucial for obtaining accurate satellite-ground distance, the accuracy of which is severely affected by noises. However, the traditional filters all depend on filtering parameters. This paper presents a new and adaptive method for denoising based on empirical mode decomposition (EMD) and Hurst analysis (EMD-Hurst). The noisy full-waveforms are first decomposed into their intrinsic mode functions (IMFs), and the Hurst exponent of each IMF is established by the detrended fluctuation analysis. The IMF is regarded as the high-frequency noise and is deleted if its Hurst exponent is ≤0.5. Both simulated and real full-waveforms were conducted to validate and evaluate the method by comparing with six other IMF selection methods via metrics like waveform decomposition consistency ratio (CR), average error of decomposition parameters, and ICESat/GLAS waveform-parameter product GLAH05. The comparisons show that: (1) under different SNR conditions, EMD-Hurst performs robustly and obtains a higher CR than other EMD based methods; (2) obtains the highest average CR and a relatively lower average error for the echo parameters; and (3) peak numbers and fitting accuracy for GLAH01 are more reasonable and precise than those of GLAH05, which could offer a good reference for the processing on future space-borne full-waveform data. |
| first_indexed | 2024-03-11T23:01:54Z |
| format | Article |
| id | doaj.art-a5fcaf6a51454803b3ad53557521c117 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2024-03-11T23:01:54Z |
| publishDate | 2020-11-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-a5fcaf6a51454803b3ad53557521c1172023-09-21T14:57:09ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552020-11-0113111212122910.1080/17538947.2019.16986651698665Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysisZhijie Zhang0Huan Xie1Xiaohua Tong2Hanwei Zhang3Yang Liu4Binbin Li5School of Surveying and Land Information Engineering, Henan Polytechnic UniversityCollege of Surveying and Geo-Informatics and State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji UniversityCollege of Surveying and Geo-Informatics and State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji UniversitySchool of Surveying and Land Information Engineering, Henan Polytechnic UniversityCollege of Surveying and Geo-Informatics and State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji UniversityCollege of Surveying and Geo-Informatics and State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji UniversityFull-waveform decomposition is crucial for obtaining accurate satellite-ground distance, the accuracy of which is severely affected by noises. However, the traditional filters all depend on filtering parameters. This paper presents a new and adaptive method for denoising based on empirical mode decomposition (EMD) and Hurst analysis (EMD-Hurst). The noisy full-waveforms are first decomposed into their intrinsic mode functions (IMFs), and the Hurst exponent of each IMF is established by the detrended fluctuation analysis. The IMF is regarded as the high-frequency noise and is deleted if its Hurst exponent is ≤0.5. Both simulated and real full-waveforms were conducted to validate and evaluate the method by comparing with six other IMF selection methods via metrics like waveform decomposition consistency ratio (CR), average error of decomposition parameters, and ICESat/GLAS waveform-parameter product GLAH05. The comparisons show that: (1) under different SNR conditions, EMD-Hurst performs robustly and obtains a higher CR than other EMD based methods; (2) obtains the highest average CR and a relatively lower average error for the echo parameters; and (3) peak numbers and fitting accuracy for GLAH01 are more reasonable and precise than those of GLAH05, which could offer a good reference for the processing on future space-borne full-waveform data.http://dx.doi.org/10.1080/17538947.2019.1698665emd-hurstsatellite laser altimetryfull-waveformdenoisingimf selection |
| spellingShingle | Zhijie Zhang Huan Xie Xiaohua Tong Hanwei Zhang Yang Liu Binbin Li Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis International Journal of Digital Earth emd-hurst satellite laser altimetry full-waveform denoising imf selection |
| title | Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis |
| title_full | Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis |
| title_fullStr | Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis |
| title_full_unstemmed | Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis |
| title_short | Denoising for satellite laser altimetry full-waveform data based on EMD-Hurst analysis |
| title_sort | denoising for satellite laser altimetry full waveform data based on emd hurst analysis |
| topic | emd-hurst satellite laser altimetry full-waveform denoising imf selection |
| url | http://dx.doi.org/10.1080/17538947.2019.1698665 |
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