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Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection

机译:基于时间差和图像边缘检测的运动目标旋转特征提取

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摘要

A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.
机译:本文提出了一种基于时间差分和距离多普勒图像图像边缘检测的旋转参数提取方法。所提出的方法首先使用图像边缘检测来检测由时间差分距离多普勒图像中的旋转部分引起的运动像素的运动轨迹。然后从运动轨迹上的边缘像素生成多普勒慢速图像。最后,从多普勒慢时间图像中提取旋转参数。所提出的方法简单,快速,实用。计算机仿真和实验结果表明,与现有方法相比,它在计算时间方面是有效的。

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