Title :
Automatic outlier detection in multibeam data using median filtering
Author :
Mann, M. ; Agathoklis, P. ; Antoniou, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fDate :
6/23/1905 12:00:00 AM
Abstract :
The automatic detection of outliers during the post-processing of the data collected by a multibeam echosounder is considered. An algorithm based on median filtering has been used for the detection process. The algorithm is tested and evaluated using synthetic as well as real field multibeam data. The results obtained show that the algorithm detects most of the outliers with minimal data degradation
Keywords :
median filters; sonar signal processing; Canadian Hydrographic Service; automatic outlier detection; median filtering; multibeam data; multibeam echosounder; post-processing; sparse erroneous soundings; Acoustic noise; Cleaning; Data engineering; Degradation; Filtering; Filters; Humans; Noise reduction; Signal processing algorithms; Testing;
Conference_Titel :
Communications, Computers and signal Processing, 2001. PACRIM. 2001 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-7080-5
DOI :
10.1109/PACRIM.2001.953726
