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Proceedings Paper

Weather radar data denoising using improved wavelet threshold method
Author(s): Peng Zhang; Ning Ma
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Paper 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.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67901L (14 November 2007); doi: 10.1117/12.749050
Show Author Affiliations
Peng Zhang, PLA Univ. of Science and Technology (China)
Ning Ma, PLA Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6790:
MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications

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