Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data
Surveying the Earth’s gravity field refers to an important domain of Geodesy, involving deep connections with Earth Sciences and Geo-information. Airborne gravimetry is an effective tool for collecting gravity data with mGal accuracy and a spatial resolution of several kilometers. The main obstacle...
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ftdoajarticles:oai:doaj.org/article:2d4e07748c274780a0db0c65c9a7e646 2023-05-15T16:28:00+02:00 Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data Lei Zhao Meiping Wu René Forsberg Arne Vestergaard Olesen Kaidong Zhang Juliang Cao 2015-10-01T00:00:00Z https://doi.org/10.3390/ijgi4042205 https://doaj.org/article/2d4e07748c274780a0db0c65c9a7e646 EN eng MDPI AG http://www.mdpi.com/2220-9964/4/4/2205 https://doaj.org/toc/2220-9964 2220-9964 doi:10.3390/ijgi4042205 https://doaj.org/article/2d4e07748c274780a0db0c65c9a7e646 ISPRS International Journal of Geo-Information, Vol 4, Iss 4, Pp 2205-2218 (2015) Earth’s gravity field airborne gravimetry finite impulse response filter (FIR) SGA-WZ empirical mode decomposition (EMD) Geography (General) G1-922 article 2015 ftdoajarticles https://doi.org/10.3390/ijgi4042205 2022-12-31T11:18:54Z Surveying the Earth’s gravity field refers to an important domain of Geodesy, involving deep connections with Earth Sciences and Geo-information. Airborne gravimetry is an effective tool for collecting gravity data with mGal accuracy and a spatial resolution of several kilometers. The main obstacle of airborne gravimetry is extracting gravity disturbance from the extremely low signal to noise ratio measuring data. In general, the power of noise concentrates on the higher frequency of measuring data, and a low pass filter can be used to eliminate it. However, the noise could distribute in a broad range of frequency while low pass filter cannot deal with it in pass band of the low pass filter. In order to improve the accuracy of the airborne gravimetry, Empirical Mode Decomposition (EMD) is employed to denoise the measuring data of two primary repeated flights of the strapdown airborne gravimetry system SGA-WZ carried out in Greenland. Comparing to the solutions of using finite impulse response filter (FIR), the new results are improved by 40% and 10% of root mean square (RMS) of internal consistency and external accuracy, respectively. Article in Journal/Newspaper Greenland Directory of Open Access Journals: DOAJ Articles Greenland ISPRS International Journal of Geo-Information 4 4 2205 2218 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Earth’s gravity field airborne gravimetry finite impulse response filter (FIR) SGA-WZ empirical mode decomposition (EMD) Geography (General) G1-922 |
spellingShingle |
Earth’s gravity field airborne gravimetry finite impulse response filter (FIR) SGA-WZ empirical mode decomposition (EMD) Geography (General) G1-922 Lei Zhao Meiping Wu René Forsberg Arne Vestergaard Olesen Kaidong Zhang Juliang Cao Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data |
topic_facet |
Earth’s gravity field airborne gravimetry finite impulse response filter (FIR) SGA-WZ empirical mode decomposition (EMD) Geography (General) G1-922 |
description |
Surveying the Earth’s gravity field refers to an important domain of Geodesy, involving deep connections with Earth Sciences and Geo-information. Airborne gravimetry is an effective tool for collecting gravity data with mGal accuracy and a spatial resolution of several kilometers. The main obstacle of airborne gravimetry is extracting gravity disturbance from the extremely low signal to noise ratio measuring data. In general, the power of noise concentrates on the higher frequency of measuring data, and a low pass filter can be used to eliminate it. However, the noise could distribute in a broad range of frequency while low pass filter cannot deal with it in pass band of the low pass filter. In order to improve the accuracy of the airborne gravimetry, Empirical Mode Decomposition (EMD) is employed to denoise the measuring data of two primary repeated flights of the strapdown airborne gravimetry system SGA-WZ carried out in Greenland. Comparing to the solutions of using finite impulse response filter (FIR), the new results are improved by 40% and 10% of root mean square (RMS) of internal consistency and external accuracy, respectively. |
format |
Article in Journal/Newspaper |
author |
Lei Zhao Meiping Wu René Forsberg Arne Vestergaard Olesen Kaidong Zhang Juliang Cao |
author_facet |
Lei Zhao Meiping Wu René Forsberg Arne Vestergaard Olesen Kaidong Zhang Juliang Cao |
author_sort |
Lei Zhao |
title |
Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data |
title_short |
Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data |
title_full |
Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data |
title_fullStr |
Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data |
title_full_unstemmed |
Airborne Gravity Data Denoising Based on Empirical Mode Decomposition: A Case Study for SGA-WZ Greenland Test Data |
title_sort |
airborne gravity data denoising based on empirical mode decomposition: a case study for sga-wz greenland test data |
publisher |
MDPI AG |
publishDate |
2015 |
url |
https://doi.org/10.3390/ijgi4042205 https://doaj.org/article/2d4e07748c274780a0db0c65c9a7e646 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_source |
ISPRS International Journal of Geo-Information, Vol 4, Iss 4, Pp 2205-2218 (2015) |
op_relation |
http://www.mdpi.com/2220-9964/4/4/2205 https://doaj.org/toc/2220-9964 2220-9964 doi:10.3390/ijgi4042205 https://doaj.org/article/2d4e07748c274780a0db0c65c9a7e646 |
op_doi |
https://doi.org/10.3390/ijgi4042205 |
container_title |
ISPRS International Journal of Geo-Information |
container_volume |
4 |
container_issue |
4 |
container_start_page |
2205 |
op_container_end_page |
2218 |
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1766017618632769536 |