@inproceedings{78e8312391844efbab5dedb34a8dccf3,
title = "An Non-Local Means based denoising methods for enhanced spatial resolution products of Microvave Radiometer",
abstract = "During data collection, the Microwave Radiation Imager (MWRI) on the FY3D satellite has several factors that reduce the spatial resolution of the data. However, in complex degradation situations, established deconvolution techniques such as wiener filtering and Backus-Gilbert improve spatial resolution at the expense of noise amplification. In this study, The Non-Local Means(NLM) technique is used to mitigate the amplification noise introduced during the deconvolution process. Experimental results on simulated and actual MWRI images have demonstrated the validity and effectiveness of the method.",
keywords = "MWRI, Non-Local Means, deconvolution, denoising",
author = "Zhiyu Yao and Weidong Hu and Zhiyan Feng and Zhihao Xu and Huanyu Jiang and Gao, \{Yan Bao\} and Leo Ligthart",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2022 ; Conference date: 17-12-2022 Through 18-12-2022",
year = "2022",
doi = "10.1109/CSRSWTC56224.2022.10098416",
language = "English",
series = "2022 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2022",
address = "United States",
}