Spatial Resolution Enhancement Using Gaussian Filtering Denoising Techniques on MWRI

Spatial resolution enhancement technique has been ubiquitously applied on microwave remote sensing. In this paper, the Gaussian filtering technique has been applied to denoise the antenna measurement image captured by microwave radiometer imager (MWRI) of FY-3 Satellite. The method consists of a low...

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Bibliographic Details
Published in2023 International Conference on Microwave and Millimeter Wave Technology (ICMMT) pp. 1 - 3
Main Authors Jia, Lin-Hai, Hu, Wei-Dong, Yao, Zhi-Yu, Ligthart, Leo
Format Conference Proceeding
LanguageEnglish
Published IEEE 14.05.2023
Subjects
Information filters
Microwave antennas
Microwave FET integrated circuits
Microwave filters
Microwave integrated circuits
Microwave measurement
Microwave radiometry
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Summary:Spatial resolution enhancement technique has been ubiquitously applied on microwave remote sensing. In this paper, the Gaussian filtering technique has been applied to denoise the antenna measurement image captured by microwave radiometer imager (MWRI) of FY-3 Satellite. The method consists of a low-pass denoise filter and a high-frequency emphasis filter, combined as a cascade structure, which maintains the gradient information while eliminating noise. Results show that the standard deviation of reconstructed image gets improved when addressed, and the improvement performs more obviously under the addictive noise with larger standard deviation.
DOI:10.1109/ICMMT58241.2023.10277277