一种融合残差点信息的改进的多基线InSAR高程重建方法

谢先明; 唐超

doi:10.11999/JEIT170775

一种融合残差点信息的改进的多基线InSAR高程重建方法

doi: 10.11999/JEIT170775

谢先明¹,
唐超¹

基金项目:

国家自然科学基金(41661092, 61461011)，广西自然科学基金重点项目(2016GXNSFDA380009)，广西自然科学基金(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(GXKL061503)，桂林电子科技大学2017年研究生创新项目(2017YJCX23)

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出版历程
- 收稿日期: 2017-08-02
- 修回日期: 2018-01-08
- 刊出日期: 2018-05-19

An Improved Multi-baseline InSAR Height Reconstruction Method Based on Interferogram Residues

XIE Xianming¹,
TANG Chao¹

Funds:

The National Natural Science Foundation of China (41661092, 61461011), The Key Project of Guangxi Natural Science Foundation (2016GXNSFDA380009), The Guangxi Natural Science Foundation (2014GXNSFBA118273), The Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory 2014/2015 Director Fund Project Grant (GXKL061503), The Guilin University of Electronic Technology 2017 Graduate Students Innovation Project (2017YJCX23)

摘要

摘要: 针对不连续地形难以精确重建地形高程的问题，将干涉图残差点和相邻像素点差异比较相结合的坏点判断方法与基于全变分能量函数的最大后验估计算法结合起来，该文提出一种改进的多基线InSAR高程重建方法。该方法利用干涉图残差点和相邻像素点差异比较对不连续点计算原理的不同，对基于全变分能量函数的最大后验估计算法重建的预估地形高程图进行坏点判断，有效判断出高程图不连续点中由于噪声或计算误差引起的坏点，并对预估地形高程图中坏点进行适当加权更新获得最终估计的地形高程图。该文算法在保留基于全变分能量函数的最大后验估计算法简便的优点的同时提高了目标地形高程的估计精度。最后通过2种不同类型地形的仿真实验，表明该方法简单有效。
- 高程重建 /
- 多基线 /
- 残差点 /
- 最大似然估计 /
- 能量函数 /
- 最大后验估计
Abstract: This paper proposes an improved multi-baseline InSAR height reconstruction approach to reconstruct height models of discontinuous terrains through combining with the Maximum A Posteriori (MAP) estimation based on Total Variation (TV) model energy function and a defective pixel judgment method composed of interferogram residues and comparison of adjacent pixels differences. The proposed method utilizes the difference discontinuous pixels between interferogram residues and comparison of adjacent pixels differences, to make defective pixels judgment from reconstructed terrain graphs obtained by the MAP estimation based on TV model energy function, which estimates efficiently defective pixels caused by errors or noise from discontinuous pixels, and then updates relatively defective pixels to obtain the final terrain height estimation. The presented algorithm not only keeps the convenience of MAP estimation algorithm but also improves estimation precision for height models of objective terrains. Experiences of two different types of terrain show that the proposed approach is efficient as well as valid.
- Height reconstruction /
- Multi-baseline /
- Residues /
- Maximum Likelihood (ML) estimation /
- Energy function /
- Maximum A Posteriori (MAP) estimation

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参考文献(28)

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