Weather radar data denoising using improved wavelet threshold method

Peng Zhang; Ning Ma

doi:10.1117/12.749050

14 November 2007 Weather radar data denoising using improved wavelet threshold method

Peng Zhang, Ning Ma

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67901L (2007) https://doi.org/10.1117/12.749050
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

An improved wavelet thresholding method is applied to denoise weather radar raw data. It used an adjustable thresholding method other than soft or hard thresholding methods. Comparing with median filtering method, the result of this method shows that it can remove the noise from the data and keep the useful infomation well at the same time. It can improve the detection rate and lower the false alarm rate for small scale sever storm. The radar echo maps are also made clearer.

Citation Download Citation

Peng Zhang and Ning Ma "Weather radar data denoising using improved wavelet threshold method", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901L (14 November 2007); https://doi.org/10.1117/12.749050

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available