An Algorithm of Filtering Noises in Multi-beam Data Based on Rolling Circle Transform

DOI

10.2991/seeie-19.2019.62How to use a DOI?

Keywords

rolling circle transform; multi-beam data; filtering; algorithm

Abstract

After having analyzed the disadvantage of existing automatic filtering algorithm, which means deleting the micro morphology or obstacle caused by devilishly pursuing the smoothing effect of artificial filtering method, aims at Ping as the processing cell of multi-beam bathymetric survey data, and by means of rolling circle transform’s characteristic of identifying and analyzing the concave (convex) part quantitatively under specific precision, the paper details an algorithm for filtering noises in multi-beam data based on a rolling circle transform, and details the keystone and solution steps of the model. At last, in a VC++ environment, some experiments were done to validate the algorithm’s validity. The experiments show that the algorithm can filter noises in multi-beam data; maintaining marine topography completeness and enhancing the efficiency in gross error detection.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jian Dong
AU  - Rencan Peng
AU  - Binbin Li
AU  - Zhu Wang
AU  - Liwei Wang
PY  - 2019/05
DA  - 2019/05
TI  - An Algorithm of Filtering Noises in Multi-beam Data Based on Rolling Circle Transform
BT  - Proceedings of the 2019 2nd International Conference on Sustainable Energy, Environment and Information Engineering (SEEIE 2019)
PB  - Atlantis Press
SP  - 267
EP  - 272
SN  - 2352-5401
UR  - https://doi.org/10.2991/seeie-19.2019.62
DO  - 10.2991/seeie-19.2019.62
ID  - Dong2019/05
ER  -