@inproceedings{39331982f8cb4d579b289599ea67f8bb,
title = "Spatial Resolution Enhancement Using Gaussian Filtering Denoising Techniques on MWRI",
abstract = "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.",
author = "Jia, {Lin Hai} and Hu, {Wei Dong} and Yao, {Zhi Yu} and Leo Ligthart",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 ; Conference date: 14-05-2023 Through 17-05-2023",
year = "2023",
doi = "10.1109/ICMMT58241.2023.10277277",
language = "English",
series = "2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023 - Proceedings",
address = "United States",
}