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航天正射影像路桥扭曲变形自动检测方法OACSTPCD

Automatic Detection Method of Distortion and Deformation Points of Road and Bridge in Aerospace Orthophoto

中文摘要英文摘要

针对高分辨率卫星正射影像制作中普遍存在的路桥扭曲变形问题,提出了一种影像入射参数辅助的路桥变形自动检测方法.该方法首先利用道路矢量确定道路方向并等距获取采样点,然后利用影像入射参数和参考数字高程模型(DEM)计算各采样点间的点位一致性偏移比率,比率越大,该点位附近路桥变形机率越大,由此确定路桥变形区域.实验结果表明,该方法能够快速、准确定位疑似变形区域,自动化程度高,且其效率相较人工核查可提升10倍以上.

Aiming at the problem of road and bridge distortion commonly existed in the production of high resolution satellite orthophoto image,we proposed an automatic detection method of road and bridge distortion assisted by image incidence parameters.Firstly,we used the road vector to determine the direction of road,and obtained the sampling points equidistant.Then,we used the image incidence parameters and the reference digital elevation model(DEM)to calculate the point consistency offset ratio between the sampling points.The larger the ratio,the greater the probability of road bridge deformation near the point,and thus the road bridge deformation area is determined.The experimental results show that the proposed method can quickly and accurately locate the suspected deformation area with high degree of automation,and its efficiency is 10 times higher than that of manual verification.

林超

广东省国土资源技术中心,广东 广州 510075

测绘与仪器

扭曲变形道路偏移光线参数

distortionroad offsetlight parameter

《地理空间信息》 2024 (008)

12-14 / 3

广东省"十四五"基础测绘专项基金资助项目(20211610).

10.3969/j.issn.1672-4623.2024.08.003

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