TY - CHAP
T1 - Machine Learning Methods for SAR Interference Mitigation
AU - Huang, Yan
AU - Zhang, Lei
AU - Li, Jie
AU - Tao, Mingliang
AU - Chen, Zhanye
AU - Hong, Wei
N1 - Publisher Copyright:
© 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Interference mitigation problem is a major issue in active remote sensing especially via a wideband synthetic aperture radar (SAR) system, which poses a great hindrance to raw data collection, image formation, and subsequent interpretation process. This chapter provides a comprehensive study of the interference mitigation techniques applicable for an SAR system. Typical signal models for various interference types are provided, together with many illustrative examples from real SAR data. In addition, advanced signal processing techniques, specifically machine learning methods, for suppressing interferences are analyzed in detail. Advantages and drawbacks of each approach are discussed in terms of their applicability. Discussion on the future trends is provided from the perspective of cognitive and deep learning frameworks.
AB - Interference mitigation problem is a major issue in active remote sensing especially via a wideband synthetic aperture radar (SAR) system, which poses a great hindrance to raw data collection, image formation, and subsequent interpretation process. This chapter provides a comprehensive study of the interference mitigation techniques applicable for an SAR system. Typical signal models for various interference types are provided, together with many illustrative examples from real SAR data. In addition, advanced signal processing techniques, specifically machine learning methods, for suppressing interferences are analyzed in detail. Advantages and drawbacks of each approach are discussed in terms of their applicability. Discussion on the future trends is provided from the perspective of cognitive and deep learning frameworks.
UR - http://www.scopus.com/inward/record.url?scp=85152293456&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-21225-3_6
DO - 10.1007/978-3-031-21225-3_6
M3 - 章节
AN - SCOPUS:85152293456
T3 - Springer Optimization and Its Applications
SP - 113
EP - 146
BT - Springer Optimization and Its Applications
PB - Springer
ER -