质量图引导的干涉合成孔径雷达图像相位解缠算法
A Phase Unwrapping Method of Interferometric SAR Phase Image Based on Quality Map Guided Model
郝红星 1于荣欢 1张喜涛2
作者信息
- 1. 装备学院 复杂电子系统仿真实验室, 北京 101416
- 2. 装备学院 研究生管理大队, 北京 101416
- 折叠
摘要
干涉合成孔径雷达测量在数字高程数据获取等遥感领域得到广泛应用,相位解缠是干涉测量中的关键步骤.运用基于质量图的马尔科夫随机场建模方法将相位解缠问题转化为能量最小化问题,通过序列树权值信息传递算法对所建立的马尔科夫随机场模型进行求解.论文提出通过最小方向线性插值方法对相位图像中质量较差的区域进行修复,即根据质量较差的像素点所处的位置,利用最短的方向对质量差的像素点进行插值修复,以获得完整的解缠结果.实验结果表明:相对于不采用质量图的方法以及Goldstein枝切法等解缠算法,所提出的算法能够完成复杂真实地形对应的相位图像解缠.
Abstract
Interferometric synthetic aperture radar (SAR) has been widely used in remote sensing field, such as digital elevation data acquisition, and phase unwrapping is one of the key steps in interferometric measurement.The paper transfers phase unwrapping to the minimization of an energy function based on the quality map guided Markov Random Field model, and solves the Markov Random Field problem with the algorithm of sequence tree weight message transfer.The paper also proposes to restore the pixels with phase image of poor quality by minimum direction linear interpolation, that is, based on the position of the pixels of poor quality, the interpolation repair is made to them in the shortest direction, to achieve complete unwrapping.Experiments show that the proposed algorithm can unwrap complex phase images generated by the varied real terrain, compared with the unwrapping algorithm like Goldstein branch cut method and methods without the quality map.
关键词
遥感信息/干涉合成孔径雷达/相位解缠/数字高程模型/马尔科夫随机场Key words
remote sensing information/interferometric synthetic aperture radar (InSAR)/phase unwrapping/digital elevation model/Markov Random Field引用本文复制引用
出版年
2017
NETL
NSTL
维普
万方数据