River waterbody extraction from SAR images based on speckle reduction and multi-resolution topological analysis

doi:10.11947/j.AGCS.2022.20190395

Abstract

Abstract: Aiming at the discontinuity of river waterbody extraction from high-resolution SAR images caused by speckle noise and building occlusion, a river waterbody extraction method combining adaptive speckle reduction and multi-resolution topological analysis is proposed. Firstly, the Beta metric is introduced into the speckle reduction anisotropic diffusion to achieve adaptive speckle filtering of SAR images. Secondly, the local threshold segmentation and connected region identification are used to quickly extract river waterbody segments from the denoised image. Then, a Gaussian pyramid is constructed with the smallest circumscribed convex polygon of the river waterbody segments as the object, and multi-resolution topological analysis is performed to obtain the information of river discontinuities. Finally, the regional growth strategy is used to distinguish the discontinuities layer by layer to realize the automatic connection of adjacent river waterbody segments. The proposed method is verified by TerraSAR-X and GF-3 high-score SAR images. The results show that the proposed method can effectively extract complete river waterbody. The effectiveness and robustness of the proposed method are verified by the qualitative and quantitative evaluation of multiple SAR images.

Key words: SAR image, river waterbody extraction, speckle reduction, local threshold, convex hull, multi-resolution topology analysis

CLC Number:

P237

YANG Yun, LI Yu, ZHAO Quanhua. River waterbody extraction from SAR images based on speckle reduction and multi-resolution topological analysis[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(1): 145-158.

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