基于蚁群算法的InSAR相位解缠算法

魏志强; 金亚秋

doi:10.3724/SP.J.1146.2006.01303

基于蚁群算法的InSAR相位解缠算法

doi: 10.3724/SP.J.1146.2006.01303

基金项目:

国家重点基础研究项目(2001CB309400)和国家自然科学基金(40637033, 60571050)资助课题

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出版历程
- 收稿日期: 2006-09-06
- 修回日期: 2007-01-12
- 刊出日期: 2008-03-19

InSAR Phase Unwrapping Algorithm Based on Ant Colony Algorithm

摘要

摘要: 该文利用数字地面高程(DEM)数据的变更，由SAR成像机理和双尺度粗糙面散射计算构造得到多景具不同阴影的单视复数(SLC)SAR影像数据。提出一种基于蚁群算法的相位解缠算法，用于多景具不同残差点数量的仿真相干SLC相干图像以及欧洲环境卫星(ENVISAT-ASAR)的InSAR图像的相位解缠，并与其他现有的解缠方法作比较。结果表明：该算法是一种有效的相位解缠方法，解缠精度与解缠速度上要优于其他一些常用的解缠方法。
- InSAR; 相位解缠; 蚁群算法
Abstract: According to scaled real Digital Elevation Maps (DEM) information, sets of Single Look Complex (SLC) SAR images are simulated for interferometric missions, based on the SAR imaging mechanism and scattering model of two-scale rough surface. On the basis of the Ant Colony Optimization (ACO), a novel phase unwrapping method is developed. This method is applied to the simulated sets of SAR images and real ENVISAT ASAR images of repeat-path orbits. Experiment results show its improved performances on unwrapping precision and speed with respect to several existed phase unwrapping algorithms.

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参考文献(1)

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