联合像素多基线InSAR降维处理方法

Abstract

Abstract:

For the joint-pixel multi-baseline InSAR processing, the authors achieve the result that when all the SAR images are accurately coregistrated, the dimension of signal-subspace is constant in spite of the number of satellites, then the authors utilize Lanczos iteration to estimate the signal subspace, which avoids eigen-decomposition of high-dimensional covariance matrix, at the same time, they use subspace fitting to replace the projection of the signal subspace onto the noise subspace, the operation complexity is greatly reduced and the precision of the algorithm is also guaranteed. Finally, the validity of the proposed algorithm is proved by the processing results of simulated multi-baseline data and single baseline real data.

Key words: synthetic aperture radar, interferometry, multibaseline, joint-pixel processing, Lanczos iteration, reduced-dimension

CLC Number:

TN957

SUO Zhi-yong;LI Zhen-fang;WU Jian-xin;BAO Zheng. Reduced-dimension method for joint-pixel multi-baseline InSAR processing[J].J4, 2009, 36(3): 385-417.

References

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Reduced-dimension method for joint-pixel multi-baseline InSAR processing

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