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Research on Tracking Approach to Low-flying Weak Small Target near the Sea

机译:海上低空飞行小目标跟踪方法研究

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Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper, in view of the low-flying target near the sea is always above the sea-level line, we can first locate the sea-level line, and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed, and the executive time of target segmentation is also much reduced. A new method is proposed, which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR, and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line, lastly uses the centroid tracking algorithm to detect and track the target. In the experiment, high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast, and eliminate the negative impact of the clutter caused by waves and clouds, and capture and track target real-timely and accurately.
机译:由于海平线附近的波浪和云造成的杂波,自动目标检测在海洋和天空的复杂背景中非常困难。在本文中,鉴于海边的低飞行目标总是在海平线上方,我们可以首先定位海平线,忽略海平线下面的图像数据。因此,可以抑制海平线线下的噪声,目标分割的执行时间也大大降低。提出了一种新方法,首先使用邻域平均方法来抑制背景和增强目标,以增加SNR,然后使用多点多层垂直Sobel操作员组合与线性最小二乘拟合以定位海平线线,最后使用质心跟踪算法来检测和跟踪目标。在实验中,应用高帧速率和高分辨率数字CCD相机和高性能DSP。实验结果表明,该方法可以有效地定位在对比度的各种条件下的海平线线,并消除波浪和云引起的杂波的负面影响,以及捕获和准确地捕获和跟踪目标。

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