TY - GEN
T1 - Total Variation Deconvolution-Based Enhancement of Spatial Resolution in Microwave Radiometer Measurements
AU - Tan, Zhen
AU - Hu, Weidong
AU - Xu, Zhihao
AU - Zhang, Kaiqi
AU - Qiao, Shi
AU - Jia, Linhai
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The Microwave Imager has emerged as a pivotal payload within meteorological monitoring and assimilation systems, attributed to its comprehensive observational capabilities, which span all weather conditions, daily cycles, and extensive spatial ranges. Nonetheless, the resolution of the channel data from the Microwave Imager is constrained due to limitations inherent in the satellite payload design process. Consequently, this research introduces a remote sensing image restoration algorithm, leveraging Total Variation (TV) regularization deconvolution. Experimental outcomes, derived from both simulated and actual data, reveal that the method offers enhanced image restoration and potent noise suppression. The Peak Signal-to-Noise Ratio (PSNR) of the restored image attains a value of 38.7, while the Structural Similarity (SSIM) achieves a measurement of 0.97.
AB - The Microwave Imager has emerged as a pivotal payload within meteorological monitoring and assimilation systems, attributed to its comprehensive observational capabilities, which span all weather conditions, daily cycles, and extensive spatial ranges. Nonetheless, the resolution of the channel data from the Microwave Imager is constrained due to limitations inherent in the satellite payload design process. Consequently, this research introduces a remote sensing image restoration algorithm, leveraging Total Variation (TV) regularization deconvolution. Experimental outcomes, derived from both simulated and actual data, reveal that the method offers enhanced image restoration and potent noise suppression. The Peak Signal-to-Noise Ratio (PSNR) of the restored image attains a value of 38.7, while the Structural Similarity (SSIM) achieves a measurement of 0.97.
KW - image deconvolution
KW - microwave imager
KW - resolution enhancement
UR - http://www.scopus.com/inward/record.url?scp=85186506654&partnerID=8YFLogxK
U2 - 10.1109/CSRSWTC60855.2023.10427491
DO - 10.1109/CSRSWTC60855.2023.10427491
M3 - Conference contribution
AN - SCOPUS:85186506654
T3 - Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023
BT - Proceedings - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 Cross Strait Radio Science and Wireless Technology Conference, CSRSWTC 2023
Y2 - 10 November 2023 through 13 November 2023
ER -