Azimuth Ambiguities Suppression Using Group Sparsity and Nonconvex Regularization for Sliding Spotlight Mode: Results on QILU-1 SAR Data
- Resource Type
- Conference
- Authors
- Zhou, Guoru; Liu, Mingqian; Xu, Zhongqiu; Wang, Mingzhi; Zhang, Bingchen; Wu, Yirong
- Source
- IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2022 - 2022 IEEE International. :1660-1663 Jul, 2022
- Subject
- Aerospace
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Fields, Waves and Electromagnetics
Geoscience
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Image quality
Image resolution
Azimuth
Filtering
Scattering
Geoscience and remote sensing
Data processing
Azimuth ambiguities
sliding spotlight SAR
group sparsity
generalized mini-max concave (GMC)
Qilu-1 (QL-1)
- Language
- ISSN
- 2153-7003
High resolution and high quality are now the requirements in synthetic aperture radar (SAR) research. The sliding spotlight mode can obtain high azimuth resolution because of its large azimuth bandwidth. Group sparse penalty can effectively suppress azimuth ambiguities to improve image quality. Generalized mini-max concave (GMC) penalty is a kind of nonconvex penalty, which is widely used in SAR imaging. In this paper, a novel sliding spotlight SAR imaging method based on group sparsity and nonconvex regularization is proposed. Compared with matched filtering method, the proposed method can suppress noise and azimuth ambiguities. Both simulations and Qilu-1(QL-1) real SAR data experiments verify the effectiveness of the proposed method.