Denoising study of InSAR interferograms based on bitonic filter and morphological filtering

Xianyin Chen; Xingru Huang

doi:10.1117/12.3057620

28 January 2025 Denoising study of InSAR interferograms based on bitonic filter and morphological filtering

Xianyin Chen, Xingru Huang

Author Affiliations +

Proceedings Volume 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024); 135060C (2025) https://doi.org/10.1117/12.3057620
Event: Sixth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2024), 2024, Qingdao, China

Abstract

Synthetic aperture radar interferometry (InSAR) is a key tool for surface monitoring, widely used in terrain change and land subsidence monitoring. However, InSAR interferograms are often affected by many kinds of noise, which seriously degrades the data quality. In this paper, we propose a denoising method, named BM filter, which combines bitonic filtering and morphological filtering, to effectively reduce noise and preserve important terrain features. Firstly, the random noise is removed by bitonic filter and the information of terrain edge is preserved. Then, morphological filtering is used to strengthen the image structure through corrosion and dilation operations to improve the sharpness. This method not only improves the denoising effect, but also enhances the interpretation of the image. The experimental results show that, compared with the traditional denoising method, the proposed method can recover and retain terrain features more effectively in complex environment, showing excellent denoising ability and edge preservation performance.

(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xianyin Chen and Xingru Huang "Denoising study of InSAR interferograms based on bitonic filter and morphological filtering", Proc. SPIE 13506, Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024), 135060C (28 January 2025); https://doi.org/10.1117/12.3057620

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