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A Method for Aircraft Labeling in Aerial and Satellite Images Based on Continuous Morphological Models

机译:基于连续形态学模型的航空卫星图像飞机标记方法

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摘要

A method of labeling aerial and satellite remote sensing images for detecting objects of a priori known shapes is proposed. The implementation of this method uses an algorithm of piecewise linear approximations of the boundary of template objects and an algorithm of transforming the template contour descriptions to fit them to images of objects in the photographs. The developed algorithms are tested using the practical problem of determining the types of aircraft in remote sensing images remote sensing images. It is shown that the proposed method improves the labeling accuracy and is faster than the manual detection of aircraft images in photographs.
机译:提出了一种标记航空和卫星遥感图像以检测先验已知形状的物体的方法。此方法的实现使用模板对象边界的分段线性近似算法和转换模板轮廓描述以使其适合照片中对象图像的算法。使用确定遥感图像中的飞机类型的实际问题测试了开发的算法。结果表明,与人工检测照片中飞机图像相比,所提出的方法提高了标注的准确性,并且速度更快。

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  • 来源
    《Programming and Computer Software》 |2019年第6期|303-310|共8页
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  • 作者单位

    Moscow Inst Phys & Technol Dolgoprudnyi 141700 Moscow Oblast Russia;

    Moscow Inst Phys & Technol Dolgoprudnyi 141700 Moscow Oblast Russia|Moscow MV Lomonosov State Univ Moscow 119991 Russia;

    Moscow Inst Phys & Technol Dolgoprudnyi 141700 Moscow Oblast Russia|Tver State Univ Tver 170100 Russia;

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