@inproceedings{64d72b9baa2c4448ab388e100bda1301,
title = "A Novel SAR Sidelobe Suppression Method based on Approximate Greatest Common Divisors",
abstract = "Sidelobe suppression is a challenging but crucial issue for SAR image quality enhancement. Inspired by the blind image restoration method based on the approximate greatest common divisor (AGCD) in natural images, a novel SAR sidelobe suppression method is proposed in this paper. Sidelobe suppression is interpreted as image deconvolution with a known PSF. Another SAR image with different PSF is generated by injecting the phase error at first. Then the PSF estimation is introduced into SAR, which is realized by solving the AGCD of two noised polynomials associated with two SAR images. Finally, the sidelobe suppression reduces to the solution of the inverse problem. Experiments on a TerraSAR-X SAR image show that improved results are qualitatively realized in sidelobe suppression and detail preservation in comparison with two existing algorithms.",
keywords = "Synthetic aperture radar (SAR), approximate greatest common divisors (AGCD), image deconvolution, point spread function (PSF), sidelobe suppression",
author = "Liu, \{Yan Fang\} and Fei Zou and Wei Yang and Zeng, \{Hong Cheng\} and Li, \{Chun Sheng\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",
year = "2022",
doi = "10.1109/IGARSS46834.2022.9884022",
language = "英语",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "747--750",
booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",
address = "美国",
}