一种基于增采样的干涉SAR相位解缠方法

徐华平; 高帅; 尤亚楠

doi:10.11999/JEIT170128

一种基于增采样的干涉SAR相位解缠方法

doi: 10.11999/JEIT170128

基金项目:

国家自然科学基金(61471020)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-02-17
- 修回日期: 2017-09-18
- 刊出日期: 2017-12-19

An InSAR Phase Unwrapping Method Based on Incremental Sampling

Funds:

The National Natural Science Foundation of China (61471020)

摘要

摘要: 干涉合成孔径雷达测量地形高程时，复杂地形区域的干涉条纹过密会导致干涉相位解缠失败，从而使得无法精确获得地形高程信息。该文提出一种降低错误解缠率的新方法，通过对干涉复图像进行增采样，使得干涉条纹相位梯度降低，从而降低相位滤波和相位解缠处理的难度，降低相位解缠的错误率。利用干涉复图像频率与Nyquist频率之间的关系，进行所提方法对地形的适应性分析。理论分析和仿真结果验证了所提方法的有效性，尤其是对于符合Nyquist采样的大坡度区域，该方法有很好的滤波和解缠效果。该文提出的方法不需要增加额外数据，实现简单，运算速度快，可应用于干涉合成孔径雷达的地面处理系统中。
- 合成孔径雷达 /
- 干涉 /
- 相位解缠 /
- 增采样 /
- Nyquist频率
Abstract: When interferometric SAR is used to measure the terrain elevation, the dense interference fringes in the complex terrain will lead to phase unwrapping failure, so that the terrain elevation information can not be obtained accurately. In this paper, a new method to reduce the error rate of phase unwrapping is proposed. The interference fringe gradient is decreased by increasing the size of the interference complex image, and the difficulties of phase filtering and phase unwrapping is reduced. Based on the relationship between the complex image frequency and the Nyquist frequency, the adaptability of the proposed method to the terrain is analyzed. The effectiveness of the proposed method is verified by theoretical analysis and simulation. Especially for the large gradient region conforming Nyquist sampling, this method has good filtering and unwrapping effect. The method proposed does not need extra data, is simple to implement and fast in operation, and can be applied to the ground processing system of interferometric SAR.
- SAR /
- Interference /
- Phase unwrapping /
- Incremental sampling /
- Nyquist frequency

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参考文献(24)

LI Chunsheng, WANG Weijie, WANG Pengbo, et al. Current situation and development trends of spaceborne SAR technology[J]. Journal of Electronics Information Technology, 2016, 38(1): 229-240. doi: 10.11999/JEIT151116.

李春升, 王伟杰, 王鹏波, 等. 星载SAR技术的现状与发展趋势[J]. 电子与信息学报, 2016, 38(1): 229-240. doi: 10.11999/ JEIT151116.

CHAUBEY Nidhi, UPADHYAY Swati, JOSHI Ashish, et al. Improvement in InSAR phase unwrapping using external DEM[C]. 5th IEEE International Conference on Communication and Signal Processing, Melmaruvathur, India, 2016: 78-82.

HUANG Qian, ZHOU Huiqun, DONG Shaochun, et al. Parallel branch-cut algorithm based on simulated annealing for large-scale phase unwrapping[J]. IEEE Transactions on Geoscience Remote Sensing, 2015, 53(7): 3833-3846. doi: 10.1109/TGRS.2014.2385482.

王霖郁, 李辉. 一种枝切法和质量图相结合的InSAR相位解缠算法[J]. 应用科技, 2016, 43(5): 49-53. doi: 10.11991/ yykj.201512027.

WANG Linyu and LI Hui. An algorithm based on the branch-cut and quality map for InSAR phase unwrapping[J]. Applied Science and Technology, 2016, 43(5): 49-53. doi: 10.11991/yykj.201512027.

LIU Weike and LIU Goulin. A new method of weight choice in InSAR least squares unwrapping[J]. Geodesy and Geodynamics, 2012, 4(1): 39-43. doi: 10.3724/SP.J.1246.2012. 00039.

刘会涛, 邢孟道, 保铮. 利用L+L1范数的多基线相位解缠绕方法[J]. 电子与信息学报, 2015, 37(5): 1111-1115. doi: 10.11999/JEIT140955.

LIU Huitao, XING Mengdao, and BAO Zheng.L+L1- norm method for Multi-baseline phase unwrapping[J]. Journal of Electronics Information Technology, 2015, 37(5): 1111-1115. doi: 10.11999/JEIT140955.

ZHANG Kui, GE Linlin, HU Zhe, et al. Phase unwrapping for very large interferometric data sets[J]. IEEE Transactions on Geoscience Remote Sensing, 2011, 49(10): 4048-4061. doi: 10.1109/TGRS.2011.2130530.

LIN Chunyan, CHEN Liang, and GE Shiqi. Research on method of flat earth effect removal based on refined local fringe frequency[C]. International Radar Conference, Adelaide, South Australia, 2013: 1-6.

JEUGHT S V D, SIJBERS J, and DIRCKX J J J. Fast Fourier-Based phase unwrapping on the graphics processing unit in Real-Time imaging applications[J]. Journal of Imaging, 2015, 1(1): 31-44. doi: 10.3390/jimaging1010031.

DAI Zhiyang and ZHA Xianjie. An accurate phase unwrapping algorithm based on reliability sorting and residue mask[J]. IEEE Geoscience Remote Sensing Letters, 2012, 9(2): 219-223. doi: 10.1109/LGRS.2011.2165198.

GATELLI F, MONTI Guamieri A, PARIZZI F, et al. The wavenumber shift in SAR interferometry[J]. IEEE Transactions on Geoscience Remote Sensing, 1994, 29(4): 855-865. doi: 10.1109/36.298013.

XU Huaping, CHEN Jie, ZHOU Yinqing, et al. A new concept: Critical number of looks for multilook processing method for InSAR noise suppression[C]. International Conference on Space information Technology, International Society for Optics and Photonics, Wuhan, 2005: 598522-598522-5.

孙龙, 张长耀, 胡茂林. 星载InSAR空间基线的系统设计与性能分析[J]. 雷达科学与技术, 2007, 5(2): 133-138. doi: 10.3969/j.issn.1672-2337.2007.02.012.

SUN Long, ZHANG Changyao, and HU Maolin. System design and performance analysis of spatial baseline in spaceborne InSAR[J]. Radar Science Technology, 2007, 5(2): 133-138. doi: 10.3969/j.issn.1672-2337.2007.02.012.

PFANDER G E and WALNUT D F. Sampling and reconstruction of operators[J]. IEEE Transactions on Information Theory, 2015, 62(1): 435-458. doi: 10.1109/TIT. 2015.2501646.

SHI Xiaojin, ZHANG Yunhua, and JIANG Jingshan. InSAR image registration using modified correlation coefficient algorithm[C]. International Symposium on Antennas, Propagation and Em Theory, Guilin, 2006: 1-4.

朱岱寅, 朱兆达, 谢求成. 一种基于局部频率估计的地形自适应干涉图滤波器[J]. 电子学报, 2002, 30(12): 1853-1856. doi: 10.3321/j.issn:0372-2112.2002.12.031.

ZHU Daiyin, ZHU Zhaoda, and XIE Qiucheng. Topography adaptive interferogram filter based on local frequency estimation[J]. Acta Electronica Sinica, 2002, 30(12): 1853-1856. doi: 10.3321/j.issn:0372-2112.2002.12.031.

DUDCZYK J and KAWALEC A. Optimizing the minimum cost flow algorithm for the phase unwrapping process in SAR radar[J]. Bulletin of the Polish Academy of Sciences Technical Sciences, 2014, 62(3): 511-516. doi: 10.2478/ bpasts-2014- 0055.

杨小琪, 姜卫东, 霍凯. 基于OFDM信号的无源雷达干扰抑制方法[J]. 雷达科学与技术, 2016, 14(4): 364-370. doi: 10.3969/j.issn.1672-2337.2016.04.004.

YANG Xiaoqi, JIANG Weidong, and HUO Kai. Suppression method of passive radar based on OFDM signal[J]. Radar Science and Technology, 2016, 14(4): 364-370. doi: 10.3969 /j.issn.1672-2337.2016.04.004.

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