首页> 外国专利> METHOD FOR MEASURING DOWNWARD INCLINATION ANGLE OF ANTENNA BASED ON LINEAR REGRESSION FITTING

METHOD FOR MEASURING DOWNWARD INCLINATION ANGLE OF ANTENNA BASED ON LINEAR REGRESSION FITTING

机译:基于线性回归拟合的天线下倾角测量方法

摘要

Disclosed by the present invention is a method for measuring a downward inclination angle of an antenna based on linear regression fitting. The method comprises the following steps: performing instance segmentation on an input original antenna image by using a deep learning method to obtain a segmented image; performing mask processing on the segmented image; performing mathematic linear modeling fitting on the segmented image after mask processing. The mathematic linear modeling fitting comprises the following steps: extracting pixel value coordinates of an antenna edge contour from the segmented image after mask processing, and intercepting a pixel value positioned at the edge of the right end of the antenna; fitting the pixel value coordinates into a straight line by means of mathematic linear modeling fitting, so as to obtain the downward inclination angle of the antenna. A downward inclination angle of an antenna is obtained through the processing on the antenna image by a deep learning network in combination with mask processing and linear fitting, thereby establishing a convenient, safe, effective and accurate antenna measuring method.
机译:本发明公开了一种基于线性回归拟合来测量天线的向下倾斜角的方法。该方法包括以下步骤:通过深度学习对输入的原始天线图像进行实例分割,得到分割图像;对分割后的图像进行遮罩处理;遮罩处理后,对分割后的图像进行数学线性建模拟合。数学线性建模拟合包括以下步骤:从掩模处理后的分割图像中提取天线边缘轮廓的像素值坐标,并截取位于天线右端边缘的像素值。通过数学线性建模拟合将像素值坐标拟合为一条直线,以获得天线的向下倾斜角。通过深度学习网络结合掩模处理和线性拟合对天线图像进行处理,得到天线的向下倾斜角,从而建立了一种方便,安全,有效,准确的天线测量方法。

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