摘要
受到周边环境、噪声等因素的影响,GBInSAR影像的干涉相位常出现解缠失真的现象。针对传统解缠算法的不足,利用三维激光扫描数据辅助网络规划解缠算法的方法,对GBInSAR影像数据进行解缠,并结合斜坡实例数据对其进行验证,最终通过评价指标对其解缠结果进行定量分析。结果表明,三维激光扫描数据辅助网络规划解缠算法可以降低不连续点数目和ε值,较好地提高GBInSAR的解缠精度,为GBInSAR的推广应用提供参考。
Because of the influence of the surrounding environment,noise and other factors,the distortion phenomenon often occurs in the unwrapping phase of GBInSAR images.For the shortcomings of traditional unwrapping algorithms,this paper unwrapps the GBInSAR image data by using the network planning unwrapping algorithms under the help of three dimensional laser scanning data.Then it verifies the algorithms and quantitatively analyzes the evaluation of unwrapping results based on the slope instance data.The results show that three dimensional laser scanning data will reduce the number of discontinuities andεvalue,and raise the unwrapping accuracy of GBInSAR images,which provides the reference for the promotion and application of GBInSAR.
出处
《测绘工程》
CSCD
2016年第12期12-15,共4页
Engineering of Surveying and Mapping
基金
国家自然科学基金资助项目(41174002)
湖南省重点实验室开放研究基金资助项目(PHLHD201311)
