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

XIE Xianming; TANG Chao

doi:10.11999/JEIT170775

Volume 40 Issue 5

May 2018

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XIE Xianming, TANG Chao. An Improved Multi-baseline InSAR Height Reconstruction Method Based on Interferogram Residues[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1159-1165. doi: 10.11999/JEIT170775

Citation:

XIE Xianming, TANG Chao. An Improved Multi-baseline InSAR Height Reconstruction Method Based on Interferogram Residues[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1159-1165. doi: 10.11999/JEIT170775

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

doi: 10.11999/JEIT170775

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)

Received Date: 2017-08-02
Rev Recd Date: 2018-01-08
Publish Date: 2018-05-19

Abstract

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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References(28)

References

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