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Target Detection Method Based Quadtree Structure Search and Hurst Exponent

机译:基于Quadtree结构搜索和赫斯特指数的目标检测方法

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After the features of Hurst exponent of the man-made target and natural background images are analyzed, a new algorithm is proposed that uses a quadtree structure search method and Hurst exponent computation. In order to extract the man-made objects from their background, the regions are firstly confirmed that probably including man-made objects by a quadtree structure search method. Then compute the Hurst exponent in the regions obtained above to confirm the region that includes the man-made object. Our method has been tested on images that consist of man-made objects and natural background and shows satisfactory performance.
机译:在分析了人造目标和自然背景图像的赫斯特指数的特征之后,提出了一种使用四足结构搜索方法和赫斯特指数计算的新算法。为了从背景中提取人造物体,首先确认区域可能包括Quadtree结构搜索方法的人为物体。然后计算上面获得的区域中的狭小术指数以确认包括人为物体的区域。我们的方法已经过在由人造物体和自然背景组成的图像上进行测试,并显示出令人满意的性能。

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