首页|无人机遥感图像几何畸变校正全过程控制方法研究

无人机遥感图像几何畸变校正全过程控制方法研究

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几何畸变是一种常见的像素点突变行为,在无人机遥感图像中,像素点几何畸变行为的表现能力越强,遥感主机对无人机图像的控制能力越弱.为准确校正像素点几何畸变行为,提升遥感主机对无人机图像的控制能力,针对无人机遥感图像几何畸变校正全过程控制方法展开研究;提取无人机遥感图像的几何描述符,并定义畸变像素点的尺度空间,完成对畸变像素点的配准处理;针对几何畸变像素点实施重采样,通过计算畸变校正参数的方式,求解校正处理函数,实现对无人机遥感图像几何畸变的校正;利用畸变校正交点,确定图像几何畸变区域的覆盖范围,再联合控制对象标定条件,完成对无人机遥感图像几何畸变校正的全过程控制;实验结果表明,所提控制方法的应用,可以避免几何畸变节点处的像素值出现明显变化的情况,畸变前后的像素差不超过5.0pt,能够实现对无人机遥感图像中像素点几何畸变行为的精准校正,符合实际应用需求.
Research on Whole Process Control Method for Geometric Distortion Correction of UAV Remote Sensing Images
Geometric distortion is a common pixel mutation behavior,and the stronger the performance of pixel geometric distor-tion behavior in unmanned aerial vehicle(UAV)remote sensing images,the weaker the control ability of remote sensing host to UAV images.In order to accurately correct the pixel geometric distortion behavior and improve the control ability of remote sensing host o-ver UAV images,a full process control method for geometric distortion correction of UAV remote sensing images is researched.The geometric descriptor of UAV remote sensing images is extracted,and the scale space of distorted pixels is defined to complete the reg-istration processing of distorted pixels.Resampling is implemented for geometrically distorted pixels,and the correction processing function is solved by calculating correction parameters to achieve the correction of geometric distortion in UAV remote sensing ima-ges.The correction control points are used to determine the coverage range of the geometric distortion area in the images,and the full process control of geometric distortion correction of UAV remote sensing images is completed in conjunction with the calibration con-ditions of control objects.The experimental results show that the proposed control method can avoid obvious changes in pixel values at geometric distortion nodes,and the pixel difference before and after distortion does not exceed 5.0 pt,which can achieve accurate cor-rection of pixel geometric distortion behavior in UAV remote sensing images and meet practical application requirements.

drone remote sensing imagesgeometric distortion correctionfull process controldescriptorscale spaceresam-plingcorrection intersectioncontrol object calibration

赵丽斌、杜娇娇、贺铮、王祝先、韩宏亮、范蕊、徐翌博

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黑龙江人工影响天气办公室,哈尔滨 151000

沈阳工程学院,沈阳 210000

黑龙江省气象数据中心,哈尔滨 151000

无人机遥感图像 几何畸变校正 全过程控制 描述符 尺度空间 重采样 校正交点 控制对象标定

黑龙江省气象局基于地面降水量的区域历史回归等统计方法对一次人工增雨的效果检验研究

HQZC2020052

2024

10.16526/j.cnki.11-4762/tp.2024.07.020

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子：0.546
ISSN：1671-4598
年,卷(期)：2024.32(7)
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