场景语义SAR图像桥梁检测算法

doi:10.3969/j.issn.1001-2400.2018.04.008

Abstract

Abstract:

Much speckle noise causes the bridge to be missing or undetected in SAR images. Aiming at the problem, we propose a novel algorithm based on scene semantic water bridge recognition. First, the image is automatically segmented into land and water scenes which narrow the search region of the bridge to the junction area. Second, the Primal Sketch features of the image are extracted to suppress the interference of speckle noise. Last, the membership function of the bridge is defined by its geometric characteristics based on the Prime Sketch features. Experiments show that the proposed algorithm effectively reduces the missing rate and error detection rate of the bridge, and has better robustness.

Key words: image processing, target detection, bridge detection, synthetic aperture radar image, scene semantic

HUANG Yong;LIU Fang. Detecting water bridge in SAR images via a scene semantic algorithm[J].Journal of Xidian University, 2018, 45(4): 40-44.

References

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Detecting water bridge in SAR images via a scene semantic algorithm

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