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Lei Fan

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Proceedings Article | 9 September 2021 Paper

Sliding scattering center extraction-based density-distance matching

Lei Fan, Qi Yang, Bin Deng, Yang Zeng, Hongqiang Wang

Proceedings Volume 11909, 1190908 (2021) https://doi.org/10.1117/12.2603902

KEYWORDS: Scattering, Target recognition, Statistical analysis, Specular reflections, Radar, Image processing

Read Abstract +

Attribute scattering centers model (ASCM) can provide important geometric information regarding the illuminated target. However, sliding scattering center (SSC) cannot be well extracted based on the current ASCM. This paper proposes an efficient method to extract SSCs based on density-distance (DD) matching. First, the scattering characteristic of SSC is derived theoretically from the perspective of physical optical (PO). Then, the frequency dependence and estimated position are analyzed by the multi-peak model. The distance and density of each scattering center are constructed and cluster by the proposed DD -based matching algorithm. Finally, the geometrical structure corresponding to each scattering centers can be retrieved. Simulation results validate the feasibility and accuracy of the proposed method.

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