TY - GEN
T1 - Spatial Super Resolution Technology of FY-3D MWRI with Deep Internal Learning
AU - Yao, Zhiyu
AU - Hu, Weidong
AU - Chen, Shi
AU - Han, Zhongde
AU - Zhao, Peng
AU - Ligthart, Leo
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The data of Microwave Radiation Imager(MWRI) on FY3D satellite suffers from numerous impacts during data acquisition, resulting in a loss in spatial resolution. However, existing methods such as wiener filtering and Lucy Richardson are unable to enhance spatial resolution under complicated deterioration conditions. In this paper, an unsupervised method using the 'zero-shot' super-resolution(ZSSR) framework is applied to microwave image processing. Experimental results on simulated images and real MWRI images have demonstrated the validity and effectiveness of the method.
AB - The data of Microwave Radiation Imager(MWRI) on FY3D satellite suffers from numerous impacts during data acquisition, resulting in a loss in spatial resolution. However, existing methods such as wiener filtering and Lucy Richardson are unable to enhance spatial resolution under complicated deterioration conditions. In this paper, an unsupervised method using the 'zero-shot' super-resolution(ZSSR) framework is applied to microwave image processing. Experimental results on simulated images and real MWRI images have demonstrated the validity and effectiveness of the method.
UR - http://www.scopus.com/inward/record.url?scp=85148589786&partnerID=8YFLogxK
U2 - 10.1109/ICMMT55580.2022.10023452
DO - 10.1109/ICMMT55580.2022.10023452
M3 - Conference contribution
AN - SCOPUS:85148589786
T3 - 2022 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022 - Proceedings
BT - 2022 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2022
Y2 - 12 August 2022 through 15 August 2022
ER -