TY - GEN
T1 - SAR Image Super-Resolution based on Artificial Intelligence
AU - Yang, Wei
AU - Ma, Zi Qian
AU - Shi, Ying Ru
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - High-resolution synthetic aperture radar (SAR) image can provide detailed information of the target, which is a benefit for improving the performance of the following interpretation application. However, the higher the resolution, the more complex the system and the higher the cost. A new challenge is how to obtain high-resolution target images from medium resolution images, by using new technology, such as artificial intelligence. In this paper, a new method is proposed to improve the resolution based on the SRGAN-SSIM. Since SRGAN is developed for nature image super-resolution, which results in a poor performance for SAR image, pre-processing is implemented. A modified Non-Local Means (NLM) is adopted for speckle noise suppression. Then, SRGAN based net is used for super-resolution, and the loss function is optimized according to the SSIM. Finally, the method is verified by Terra-SAR images.
AB - High-resolution synthetic aperture radar (SAR) image can provide detailed information of the target, which is a benefit for improving the performance of the following interpretation application. However, the higher the resolution, the more complex the system and the higher the cost. A new challenge is how to obtain high-resolution target images from medium resolution images, by using new technology, such as artificial intelligence. In this paper, a new method is proposed to improve the resolution based on the SRGAN-SSIM. Since SRGAN is developed for nature image super-resolution, which results in a poor performance for SAR image, pre-processing is implemented. A modified Non-Local Means (NLM) is adopted for speckle noise suppression. Then, SRGAN based net is used for super-resolution, and the loss function is optimized according to the SSIM. Finally, the method is verified by Terra-SAR images.
KW - AI
KW - Image
KW - SRGAN
KW - Super-resolution (SR)
KW - Synthetic aperture radar (SAR)
UR - https://www.scopus.com/pages/publications/85140363978
U2 - 10.1109/IGARSS46834.2022.9884456
DO - 10.1109/IGARSS46834.2022.9884456
M3 - 会议稿件
AN - SCOPUS:85140363978
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 4643
EP - 4646
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -