基于Radon变换的昆虫上升下降率提取算法及实验验证

Ascent and Descent Rate Extraction Algorithm and Experimental Verification Based on Radon Transform

  • 摘要: 昆虫上升下降率是反映昆虫在迁飞过程中的运动方向与运动速率的重要指标。由于传统垂直昆虫雷达存在距离分辨率低、目标检测关联算法不完善等问题,昆虫上升下降率的提取较为复杂。本文提出一种基于Radon变换的昆虫上升下降率提取算法,该算法通过脉冲多普勒积累与恒虚警检测实现了雷达快时间/慢时间一维距离像矩阵到二值化航迹矩阵的转换,再利用Radon变换从二值化航迹矩阵中实现了昆虫上升下降率的直接提取。通过对实测数据的处理,验证了该算法的可行性。

     

    Abstract: Reflecting the direction and velocity of the movement, ascent and descent rate are important parameters in the migration of the insect. Traditional entomological radars have some problems such as low range resolution and primary target detection and association algorithm, which make it difficult to extract the ascent and descent rate. In this paper, we proposed an ascent and descent rate extraction algorithm based on Radon transform. The pulse Doppler and cell-averaging constant false alarm rate were employed to transform the two-dimensional data matrix from a series of M radar echoes to the binary image indicating the traces of insects. As for the binary image, Radon transform is utilized to extract the ascent and descent rate. Experimental data were processed to verify the validity of the proposed algorithm.

     

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