摘要
针对在复杂不连续地形中,传统多基线高程重建算法噪声适应性差的缺点,该文先利用经验模态分解法对选定干涉图滤波,再通过基于马尔科夫模型的多基线最大后验估计重建地形高程。经验模态分解法滤波在抑制干涉图噪声的同时,较好地保留了条纹细节和边缘信息,使得重建的高程更为精准。相较于传统多基线高程重建算法,该文算法噪声适应性更好,估计精度更高,且边缘信息更清晰。最后通过3种地形的仿真实验,证明了该方法简单有效。
Considering the low noise immunity for multi-baseline InSAR height reconstruction algorithm in complex or strongly discontinuous terrain,a method based on empirical mode decomposition and maximum a posteriori estimation was proposed.In this paper,the empirical mode decomposition method was used to filter interferograms,and then reconstructs the elevation of the area by the maximum aposteriori estimation based on Markov random fields.The empirical mode decomposition method suppressed the noise of the interferogram while preserving the fringe detail and the edge information,which made the reconstruction of the elevation more accurate.Compared with traditional multi-baseline InSAR height reconstruction algorithm,the present algorithm had better noise adaptability,higher accuracy and clearer edge information.Finally,the three types of simulation experimences proved that the method was simple and effective.
作者
唐超
谢先明
代高兴
李玉婷
TANG Chao;XIE Xianming;DAI Gaoxing;LI Yuting(School of Information and Communication,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China)
出处
《测绘科学》
CSCD
北大核心
2019年第2期102-108,共7页
Science of Surveying and Mapping
基金
国家自然科学基金项目(41661092
61461011)
广西自然科学基金重点项目(2016GXNSFDA380009)
广西自然科学基金资助项目(2014GXNSFBA118273)
广西无线宽带通信与信号处理重点实验室2014/2015年主任基金项目(GXKL061503)
桂林电子科技大学2017年研究生创新项目(2017YJCX23)
关键词
多基线
滤波
经验模态
最大后验估计
multi-baseline
filter
empirical mode decomposition
maximum a posteriori estimation
