The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset
Multibeam echosounder (MBES) has tremendously improved the rate of data collection in terms of time spend and data density. MBES collects full data coverage of seabed within significantly short period of time. However more time is required for data cleaning process in post-processing mode (Cronin et...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2007
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| Online Access: | http://eprints.utm.my/4678/1/75_Othman_Mohd_Yusof_and_Razali_The_Establishment_of_Automatic_Detection_Procedures.pdf http://eprints.utm.my/4678/ http://www.insidegnss.com/node/13 |
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| _version_ | 1845471187621117952 |
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| author | Mohd. Yusof, Othman Mahmud, Mohd. Razali |
| author_facet | Mohd. Yusof, Othman Mahmud, Mohd. Razali |
| author_sort | Mohd. Yusof, Othman |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Multibeam echosounder (MBES) has tremendously improved the rate of data collection in terms of time spend and data density. MBES collects full data coverage of seabed within significantly short period of time. However more time is required for data cleaning process in post-processing mode (Cronin et al., 2003). The data cleaning process is an important event as the collected data comprised of not only real seabed profiles but associated with erroneous data called outliers. The integrity of acquired data could be validated if a ground truth validation could be performed. However a systematic checking on the grounds of multibeam data is impossible (Mori, 2003). This technical paper discusses on the development of automatic detection of MBES outliers which is divided into two categories namely far outliers and near outliers. From various programs developed using Microsoft Visual Basic, the study tries to investigate and establish the least procedures to detect MBES outliers. |
| format | Conference or Workshop Item |
| id | my.utm.eprints-4678 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2007 |
| record_format | eprints |
| spelling | my.utm.eprints-46782017-10-31T05:08:11Z http://eprints.utm.my/4678/ The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset Mohd. Yusof, Othman Mahmud, Mohd. Razali TA Engineering (General). Civil engineering (General) Multibeam echosounder (MBES) has tremendously improved the rate of data collection in terms of time spend and data density. MBES collects full data coverage of seabed within significantly short period of time. However more time is required for data cleaning process in post-processing mode (Cronin et al., 2003). The data cleaning process is an important event as the collected data comprised of not only real seabed profiles but associated with erroneous data called outliers. The integrity of acquired data could be validated if a ground truth validation could be performed. However a systematic checking on the grounds of multibeam data is impossible (Mori, 2003). This technical paper discusses on the development of automatic detection of MBES outliers which is divided into two categories namely far outliers and near outliers. From various programs developed using Microsoft Visual Basic, the study tries to investigate and establish the least procedures to detect MBES outliers. 2007-11-07 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/4678/1/75_Othman_Mohd_Yusof_and_Razali_The_Establishment_of_Automatic_Detection_Procedures.pdf Mohd. Yusof, Othman and Mahmud, Mohd. Razali (2007) The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset. In: Joint International Symposium and Exhibition on Geoinformation and International Symposium and Exhibition on Gps/Gnss 2007, 5-7 November 2007, Persada Johor INternational Convention Centre,Johor Bahru, Johor. http://www.insidegnss.com/node/13 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Mohd. Yusof, Othman Mahmud, Mohd. Razali The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset |
| title | The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset
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| title_full | The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset
|
| title_fullStr | The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset
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| title_full_unstemmed | The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset
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| title_short | The establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset
|
| title_sort | establishment of automatic detection procedures for far and near outliers in multibeam echo sounding dataset |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://eprints.utm.my/4678/1/75_Othman_Mohd_Yusof_and_Razali_The_Establishment_of_Automatic_Detection_Procedures.pdf http://eprints.utm.my/4678/ http://www.insidegnss.com/node/13 |
| url_provider | http://eprints.utm.my/ |