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A Two-Step Ship Target Detection Method in High-Resolution Sar Image Based on Coarse-to-Fine Mechanism

机译:基于粗致细机制的高分辨率SAR图像中的两步船目标检测方法

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With the development of synthetic aperture radar technology, the resolution of SAR images becomes higher accompanied by more complex clutter characteristics, which poses challenges to the detection of ship targets. To achieve efficient ship detection in high-resolution synthetic aperture radar images, a two-step ship target detection method based on a coarse-to-fine mechanism is proposed in this paper. First, the SAR image is filtered through the gravitational field method to enhance ship targets. Then the candidate targets are obtained by the improved mean dichotomy method. Finally, the kernel density estimation method is utilized to complete precise detection results. Compared with the conventional ship target detection method, the proposed method is fast and accurate. Experimental results demonstrate the effectiveness of the proposed method.
机译:随着合成孔径雷达技术的发展,SAR图像的分辨率伴随着更复杂的杂波特征,这会对船舶目标的检测带来挑战。为了在高分辨率合成孔径雷达图像中实现高效的船舶检测,本文提出了一种基于粗型机构的两步船目标检测方法。首先,通过引力场方法过滤SAR图像以增强船舶目标。然后通过改进的平均二分法方法获得候选目标。最后,利用核密度估计方法来完成精确的检测结果。与传统的船舶目标检测方法相比,所提出的方法快速准确。实验结果表明了该方法的有效性。

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