Detecting Outliers and Filtering Noises in Multi-Beam Data

YANG Fanlin; LIU Jingnan; ZHAO Jianhu

Volume 29 Issue 1

Jan. 2004

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Geomatics and Information Science of Wuhan University > 2004 > 29(1): 80-83.

YANG Fanlin, LIU Jingnan, ZHAO Jianhu. Detecting Outliers and Filtering Noises in Multi-Beam Data[J]. Geomatics and Information Science of Wuhan University, 2004, 29(1): 80-83.

Citation:

YANG Fanlin, LIU Jingnan, ZHAO Jianhu. Detecting Outliers and Filtering Noises in Multi-Beam Data[J]. Geomatics and Information Science of Wuhan University, 2004, 29(1): 80-83.

Citation:

YANG Fanlin, LIU Jingnan, ZHAO Jianhu. Detecting Outliers and Filtering Noises in Multi-Beam Data[J]. Geomatics and Information Science of Wuhan University, 2004, 29(1): 80-83.

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Detecting Outliers and Filtering Noises in Multi-Beam Data

1 Research Center of GPS, Wuhan University, 129 Luoyu Road, Wuhan 430079, China;
2 Presidential Secretariat, Wuhan University, Luojia Hill, Wuhan 430072, China

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Received Date: November 09, 2003
Published Date: January 04, 2004

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Abstract

Abstract

This paper combines median filter with local variance estimation and wavelet analysis to remove outliers and noises.Because median filter can distort details in datasets, its result is not ultimate. However, the local variance is calculated through it.Then removing outliers relies on limit errors calculated by the local variance.The algorithm is verified by the real data and simulated data.It can process large quantities of data, rapid speed and robust etc.
- multi-beam,
- filtering,
- wavelet analysis

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