基于间断自适应MRF的相位解缠算法

doi:10.13474/j.cnki.11-2246.2020.0380

测绘通报 ›› 2020, Vol. 0 ›› Issue (12): 6-10,26.doi: 10.13474/j.cnki.11-2246.2020.0380

基于间断自适应MRF的相位解缠算法

周立凡¹, 张世奇², 夏瑜¹, 钟珊¹, 龚声蓉¹

1. 常熟理工学院计算机科学与工程学院, 江苏苏州 215500;
2. 中国地图出版社有限公司, 北京 100054

收稿日期:2020-04-13 发布日期:2021-01-06
通讯作者: 张世奇。E-mail:zhangshiqi@sinomaps.com E-mail:zhangshiqi@sinomaps.com
作者简介:周立凡(1984-),男,博士,讲师,主要研究方向为合成孔径干涉雷达相位解缠算法设计研究。E-mail:zhoulifan_rs@163.com
基金资助:
国家自然科学基金（61972059；41501461）；江苏省自然科学基金面上项目（BK20191474；BK20191475）；江苏省“六大人才高峰”高层次人才（XYDXX-057）；江苏省高校“青蓝工程”优秀青年骨干教师培养对象（2017）；江苏省“333高层次人才培养工程”培养对象（2018）

Phase unwrapping method based on discontinuity adaptive markov random fields

ZHOU Lifan¹, ZHANG Shiqi², XIA Yu¹, ZHONG Shan¹, GONG Shengrong¹

1. School of Computer Science and Engineering, Changshu Institute of Technology, Suzhou 215500, China;
2. Sinomap Press Co., Ltd., Beijing 100054, China

Received:2020-04-13 Published:2021-01-06

摘要/Abstract

摘要： 合成孔径干涉雷达（InSAR）技术已被广泛应用于地面高程信息的获取。相位解缠作为其关键步骤直接关系到地表高程的提取精度。然而，相位解缠受相位连续性假设的限制无法识别间断相位，影响在陡峭地形区域的高程反演精度。针对上述问题，本文提出了一种基于间断自适应马尔可夫随机场模型（DA-MRF）的相位解缠算法处理间断相位。首先构建DA-MRF模型的能量函数能够自适应地在连续相位处保持像素连接，同时在间断相位处阻断像素连接；然后再利用图割算法优化能量函数，完成相位解缠。仿真和实测数据试验证明，本文方法与常用的相位解缠算法相比，具有更强的间断相位保持能力，更适用于地形变化剧烈场景中的地形重建。

关键词: 干涉雷达, 相位解缠, 间断自适应, 马尔可夫随机场, 数字地表模型

Abstract: Interferometric synthetic aperture radar (InSAR) technology has been widely applied to digital elevation model (DEM) generation. Phase unwrapping, as one of key procedures in InSAR technique is related directly to the accuracy of DEM reconstruction. However, phase unwrapping method can not estimate the discontinuous phase due to the limitation of the phase continuity assumption, which reduces the accuracy of DEM generation in the mountainous area. To solve this problem, a phase unwrapping method based on discontinuity adaptive MRF (DA-MRF) is proposed in this paper, which can deal with discontinuous phase. Firstly, the energy function of DA-MRF is established which can keep the pixel pairs connected for the continuous phase while make the pixel pairs disconnected for the discontinuous phase adaptively. Then, the graph cuts method is used to optimize the energy function of DA-MRF to obtain the final result. The simulated and real data experiments both demonstrate that the proposed method has more powerful discontinuity persevering ability and is more applicable in DEM generation in the mountainous area, compared with other phase unwrapping methods.

Key words: interferometric synthetic aperture radar, phase unwrapping, discontinuity adaptive, Markov random fields, digital elevation model (DEM)

中图分类号:

P237

周立凡, 张世奇, 夏瑜, 钟珊, 龚声蓉. 基于间断自适应MRF的相位解缠算法[J]. 测绘通报, 2020, 0(12): 6-10,26.

ZHOU Lifan, ZHANG Shiqi, XIA Yu, ZHONG Shan, GONG Shengrong. Phase unwrapping method based on discontinuity adaptive markov random fields[J]. Bulletin of Surveying and Mapping, 2020, 0(12): 6-10,26.

参考文献

[1] MOREIRA A, PRATS-IRAOLA P, YOUNIS M, et al. A tutorial on synthetic aperture radar[J]. IEEE Geoscience and Remote Sensing Magazine, 2013, 1(1):6-43.
[2] YU H W, LAN Y, YUAN Z H, et al. Phase unwrapping in InSAR:a review[J]. IEEE Geoscience and Remote Sensing, 2019, 7(1):40-58.
[3] GOLDSTEIN R M, ZEBKER H A, WERNER C L. Satellite radar interferometry:two-dimensional phase unwrapping[J]. Radio Science, 1988, 23(4):713-720.
[4] LIU G, WANG R, DENG Y K, et al. A new quality map for 2D phase unwrapping based on gray level co-occurrence matrix[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(2):444-448.
[5] GHIGLIA D C, ROMERO L A. Robust two-dimensional weighted and unweighted phase unwrapping that uses fast transforms and iterative methods[J]. Journal of the Optical Society of America, 1994, 11(1):107-117.
[6] COSTANTINI M. A novel phase unwrapping method based on network programming[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(3):813-821.
[7] YING L, LIANG Z P, MUNSON D. et al. Unwrapping of MR phase images using a Markov random field model[J]. IEEE Transactions on Medical Imaging, 2006, 25(1):128-136.
[8] DIAS J M, VALADAO G. Phase unwrapping via graph cuts[J]. IEEE Transactions on Image Process, 2007, 16(3):698-709.
[9] CHEN R P, YU W D, WANG R, et al. Integrated denoising and unwrapping of InSAR phase based on Markov random fields[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(8):4473-4485.
[10] ABDALLAH W B, ABDELFATTAH R. A joint markov random field approach for SAR interferogram filtering and unwrapping[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(7):3016-3025.
[11] ZHOU L F, CHAI D F, XIA Y, et al. Interferometric synthetic aperture radar phase unwrapping based on sparse Markov random fields by graph cuts[J]. Journal of Applied Remote Sensing, 2018, 12(1):015006.
[12] ZHOU L F, CHAI D F, XIA Y, et al. Comparison of optimization algorithms for interferometric synthetic aperture radar phase unwrapping based on identical Markov random fields[J]. Journal of Applied Remote Sensing, 2018, 12(2):025016.

基于间断自适应MRF的相位解缠算法

Phase unwrapping method based on discontinuity adaptive markov random fields

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics

本文评价

[1]	兰峰, 张帆, 高云龙, 黄先锋. 顾及地物类别的倾斜摄影三维模型简化方法[J]. 测绘通报, 2022, 0(4): 44-50.
[2]	孙玉铮, 谢先明, 梁小星. 一种容积信息滤波局部迭代相位解缠方法[J]. 测绘通报, 2021, 0(2): 40-43.
[3]	韦春桃, 赵平, 肖博林, 白风, 李小勇, 杨晚芸. 结合双树复小波纹理特征和MRF模型的遥感图像分割[J]. 测绘通报, 2019, 0(10): 40-45.
[4]	高建, 石磊, 夏宇, 沈佩姗. 一种基于界面传播的干涉相位快速解缠方法[J]. 测绘通报, 2018, 0(8): 84-87.
[5]	白芝勇, 杜君伟. 天狼星Sirius Pro无人机在高铁施工中的应用[J]. 测绘通报, 2017, 0(8): 156-157.
[6]	杨亚夫, 朱建军, 许兵. 利用TanDEM-X生成DEM的精度评定[J]. 测绘通报, 2017, 0(7): 18-22,75.
[7]	王鹏徐亚明徐进军肖潇. 地基干涉雷达变形监测信号静杂波去除方法研究[J]. 测绘通报, 2014, 0(10): 15-18.