@inproceedings{6ecb069786e44a90b4107c76e9e6c3fe,
title = "An InSAR image registration strategy applied to complex distortion",
abstract = "Image registration is a key step in signal processing of interferometric SAR. Traditional real correlation method is a common and robust approach for InSAR images registration. When the distortion between the two SAR images is large and complex, the registration accuracy of this traditional method is limited. To enhance the registration accuracy, this paper proposes an improved registration strategy with three improvements comparing with traditional algorithm. Firstly, adjacent sample windows and overlapping search windows are employed in the window partitioning. Secondly, a two-step singular points removal and modification method is proposed for the low-coherence regions. Finally, cubic spline interpolation is used to precisely explain the complex image distortion. Airborne dual-Antenna data are processed to validate the effectiveness of the proposed registration strategy.",
keywords = "complex distortion, cubic spline interpolation, image registration, interferometric SAR, singular points",
author = "Zhen Wang and Sheng Lin and Zegang Ding and Tiandong Liu and Xiaojun Lu and Zheng Lv",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Frontiers of Sensors Technologies, ICFST 2017 ; Conference date: 14-04-2017 Through 16-04-2017",
year = "2017",
month = dec,
day = "14",
doi = "10.1109/ICFST.2017.8210544",
language = "English",
series = "Proceedings of 2017 2nd International Conference on Frontiers of Sensors Technologies, ICFST 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "401--405",
booktitle = "Proceedings of 2017 2nd International Conference on Frontiers of Sensors Technologies, ICFST 2017",
address = "United States",
}