A UNIVERSAL DE-NOISING ALGORITHM FOR GROUND-BASED LIDAR SIGNAL
Ground-based lidar, working as an effective remote sensing tool, plays an irreplaceable role in the study of atmosphere, since it has the ability to provide the atmospheric vertical profile. However, the appearance of noise in a lidar signal is unavoidable, which leads to difficulties and complexi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/53/2016/isprs-archives-XLI-B1-53-2016.pdf |
| _version_ | 1818511780272406528 |
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| author | X. Ma X. Ma C. Xiang W. Gong |
| author_facet | X. Ma X. Ma C. Xiang W. Gong |
| author_sort | X. Ma |
| collection | DOAJ |
| description | Ground-based lidar, working as an effective remote sensing tool, plays an irreplaceable role in the study of atmosphere, since it has
the ability to provide the atmospheric vertical profile. However, the appearance of noise in a lidar signal is unavoidable, which leads
to difficulties and complexities when searching for more information. Every de-noising method has its own characteristic but with a
certain limitation, since the lidar signal will vary with the atmosphere changes. In this paper, a universal de-noising algorithm is
proposed to enhance the SNR of a ground-based lidar signal, which is based on signal segmentation and reconstruction. The signal
segmentation serving as the keystone of the algorithm, segments the lidar signal into three different parts, which are processed by
different de-noising method according to their own characteristics. The signal reconstruction is a relatively simple procedure that is
to splice the signal sections end to end. Finally, a series of simulation signal tests and real dual field-of-view lidar signal shows the
feasibility of the universal de-noising algorithm. |
| first_indexed | 2024-12-10T23:37:44Z |
| format | Article |
| id | doaj.art-c53d77bb1efa46679387915cc4fb2ca1 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-10T23:37:44Z |
| publishDate | 2016-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-c53d77bb1efa46679387915cc4fb2ca12022-12-22T01:29:08ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B1535610.5194/isprs-archives-XLI-B1-53-2016A UNIVERSAL DE-NOISING ALGORITHM FOR GROUND-BASED LIDAR SIGNALX. Ma0X. Ma1C. Xiang2W. Gong3State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaCollaborative Innovation Center for Geospatial Technology, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaGround-based lidar, working as an effective remote sensing tool, plays an irreplaceable role in the study of atmosphere, since it has the ability to provide the atmospheric vertical profile. However, the appearance of noise in a lidar signal is unavoidable, which leads to difficulties and complexities when searching for more information. Every de-noising method has its own characteristic but with a certain limitation, since the lidar signal will vary with the atmosphere changes. In this paper, a universal de-noising algorithm is proposed to enhance the SNR of a ground-based lidar signal, which is based on signal segmentation and reconstruction. The signal segmentation serving as the keystone of the algorithm, segments the lidar signal into three different parts, which are processed by different de-noising method according to their own characteristics. The signal reconstruction is a relatively simple procedure that is to splice the signal sections end to end. Finally, a series of simulation signal tests and real dual field-of-view lidar signal shows the feasibility of the universal de-noising algorithm.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/53/2016/isprs-archives-XLI-B1-53-2016.pdf |
| spellingShingle | X. Ma X. Ma C. Xiang W. Gong A UNIVERSAL DE-NOISING ALGORITHM FOR GROUND-BASED LIDAR SIGNAL The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A UNIVERSAL DE-NOISING ALGORITHM FOR GROUND-BASED LIDAR SIGNAL |
| title_full | A UNIVERSAL DE-NOISING ALGORITHM FOR GROUND-BASED LIDAR SIGNAL |
| title_fullStr | A UNIVERSAL DE-NOISING ALGORITHM FOR GROUND-BASED LIDAR SIGNAL |
| title_full_unstemmed | A UNIVERSAL DE-NOISING ALGORITHM FOR GROUND-BASED LIDAR SIGNAL |
| title_short | A UNIVERSAL DE-NOISING ALGORITHM FOR GROUND-BASED LIDAR SIGNAL |
| title_sort | universal de noising algorithm for ground based lidar signal |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/53/2016/isprs-archives-XLI-B1-53-2016.pdf |
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