Anomalous Propagation Echo Detection Using Neural Network and Discrete Wavelet Transform

DOI

10.2991/aiie-15.2015.53How to use a DOI?

Keywords

anomalous propagation; neural network; discrete wavelet transform

Abstract

Anomalous propagation echo belongs to representative non-precipitation echoes which have very similar characteristics of precipitation echoes. It occurs due to super-refraction or ducting phenomenon of radar beam by temperature or humidity. There are a lot of ongoing researches about detecting and removing the anomalous propagation echo in radar data in order to improve accuracy of data analysis. This paper suggests a detection method with artificial neural network for separating the anomalous propagation echo from radar data, which uses discrete wavelet transform in order to extract characteristics of the anomalous propagation echo. The result derives that artificial neural network with discrete wavelet transform shows good performances.

Copyright

© 2015, 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  - H. Lee
AU  - E.K. Kim
AU  - S. Kim
PY  - 2015/07
DA  - 2015/07
TI  - Anomalous Propagation Echo Detection Using Neural Network and Discrete Wavelet Transform
BT  - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
PB  - Atlantis Press
SP  - 188
EP  - 190
SN  - 1951-6851
UR  - https://doi.org/10.2991/aiie-15.2015.53
DO  - 10.2991/aiie-15.2015.53
ID  - Lee2015/07
ER  -