Study of InSAR Interferogram Denoising by Non-local Means Algorithm

doi:10.13474/j.cnki.11-2246.2018.0344

Abstract

Abstract:

In view of the deficiency of the non-local image restoration algorithm (Non-local Means) in interferogram filtering, an adaptive smoothing parameter Non-local Means based on the coherence coefficient is proposed. In theory, the improved algorithm can retain more physical and detailed information of interference images while denoising the InSAR interferogram. Finally, the denoising effect of the new algorithm, the traditional Non-local Means filtering algorithm, the Goldstein and the adaptive median filter are compared and analyzed by the measured data. The results show that the improved algorithm proposed in this paper is superior to the other three filtering algorithms in restraining the noise of InSAR interferogram, maintaining phase information and stripe information.

Key words: filtering algorithm, adaptive, InSAR interferogram, noise

CLC Number:

P237

HU Jinshan, DING Jin, KANG Jianrong, HUANG Chenling. Study of InSAR Interferogram Denoising by Non-local Means Algorithm[J]. 测绘通报, 2018, 0(11): 25-29.

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