TY - GEN
T1 - Study on the Spatial Resolution Enhancing Technology of FengYun Satellite Microwave Remote Sensing with Wavelet Transform
AU - Sun, Yanlin
AU - Hu, Weidong
AU - Zhang, Binchao
AU - Wang, Yang
AU - Guo, Jiale
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - This paper focuses on the imaging principles of spaceborne microwave imagers, with particular emphasis on the microwave remote sensing spatial resolution enhancement techniques developed for the Fengyun satellite. Building upon these advancements, image resolution enhancement algorithms were employed to achieve further improvements in image resolution.First, this paper introduces the development history of China's Fengyun meteorological remote sensing satellites, as well as the research progress and current status of resolution enhancement technologies for meteorological satellite remote sensing images both domestically and internationally.Subsequently, common spatial resolution enhancement and matching techniques were introduced, with particular emphasis on deriving the principles of the Wiener filter deconvolution algorithm. This algorithm was then selected to enhance both simulated and measured data resolutions. Building on this foundation, the focus shifted to enhancing image spatial resolution. The wavelet transform method was employed for further image enhancement. Using this algorithm, after the satellite image data has undergone spatial resolution enhancement and matching processing, further resolution improvement can be achieved, effectively highlighting the image's detailed features.
AB - This paper focuses on the imaging principles of spaceborne microwave imagers, with particular emphasis on the microwave remote sensing spatial resolution enhancement techniques developed for the Fengyun satellite. Building upon these advancements, image resolution enhancement algorithms were employed to achieve further improvements in image resolution.First, this paper introduces the development history of China's Fengyun meteorological remote sensing satellites, as well as the research progress and current status of resolution enhancement technologies for meteorological satellite remote sensing images both domestically and internationally.Subsequently, common spatial resolution enhancement and matching techniques were introduced, with particular emphasis on deriving the principles of the Wiener filter deconvolution algorithm. This algorithm was then selected to enhance both simulated and measured data resolutions. Building on this foundation, the focus shifted to enhancing image spatial resolution. The wavelet transform method was employed for further image enhancement. Using this algorithm, after the satellite image data has undergone spatial resolution enhancement and matching processing, further resolution improvement can be achieved, effectively highlighting the image's detailed features.
KW - atmospheric remote sensing
KW - filtering
KW - resolution enhancement algorithm
KW - spatial resolution
KW - Wiener filtering
UR - https://www.scopus.com/pages/publications/105050612074
U2 - 10.1109/CSRSWTC71154.2026.11669686
DO - 10.1109/CSRSWTC71154.2026.11669686
M3 - Conference contribution
AN - SCOPUS:105050612074
T3 - CSRSWTC 2026 - 2026 Cross Strait Radio Science and Wireless Technology Conference, Proceedings
BT - CSRSWTC 2026 - 2026 Cross Strait Radio Science and Wireless Technology Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2026 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2026
Y2 - 10 July 2026 through 12 July 2026
ER -