利用捕获图像的GCP几何校正获取地面目标精确坐标

Namwon An, Kyung-Mee Lim, So-Young Jeong
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引用次数: 0

摘要

获取地面目标的精确坐标是战术级军事无人机作战的关键任务。从UAV(无人驾驶飞行器)图像估计的地面目标的坐标偏差可能取决于传感器规格和UAV和地面目标之间的倾斜距离。对于典型的战术无人机任务场景,它有几十到几百米的订单。本文提出了一种基于地面控制点(Ground Control Points, GCP),通过将图像像素映射到地理坐标,精确获取无人机目标坐标的方案。该方案在无人机地面控制站进行了实施和测试。我们利用所提出的方案对已知精确位置的目标进行图像采集,并获取目标坐标。实验结果表明,所获得的坐标误差保持在几米数量级,坐标精度得到了显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Acquiring Precise Coordinates of Ground Targets through GCP Geometric Correction of Captured Images in UAS
Acquiring precise coordinates of ground targets can be regarded as the key mission of the tactical-level military UAS(Unmanned Aerial System) operations. The coordinates deviations for the ground targets estimated from UAV (Unmanned Aerial Vehicle) images may depend on the sensor specifications and slant ranges between UAV and ground targets. It has an order of several tens to hundreds of meters for typical tactical UAV mission scenarios. In this paper, we propose a scheme that precisely acquires target coordinates from UAS by mapping image pixels to geographical coordinates based on GCP(Ground Control Points). This scheme was implemented and tested from ground control station for UAS. We took images of targets of which exact location is known and acquired the target coordinates using our proposed scheme. The experimental results showed that errors of the acquired coordinates remained within an order of several meters and the coordinates accuracy was significantly improved.
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