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A special algorithm based on structure for ship classification

机译:一种基于船舶分类结构的特殊算法

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In this paper, we use the aspect ratio of a vessel for its recognition and classification with overhead images. For aspect ratio extraction, a morphology-based local adaptive threshold method of detection has been applied for a more accurate outline. With Radon transforms on the minimum bounding rectangle regions of those extracted outlines, central axis of each vessel can be got. Thus, the aspect ratio of a vessel could be accurately calculated through scanning the boundary contours of every target by lines along and perpendicular to the direction of central axis. If remote sensing information is also considered, such as the height and pitching angle of shooting, the real values of a vessel can also be calculated.
机译:在本文中,我们使用船舶的纵横比与顶上图像的识别和分类。对于纵横比提取,已经应用了一种基于形态的局部自适应阈值方法,用于更准确的轮廓。随着氡的变换在提取的轮廓的最小边界矩形区域,每个船只的中心轴可以得到。因此,可以通过沿着线沿沿线和垂直于中心轴的方向扫描每个目标的边界轮廓来精确计算血管的纵横比。如果还考虑遥感信息,例如拍摄的高度和俯仰角,则也可以计算容器的实际值。

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