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Estimating the velocity and direction of moving targets using a single optical VHR satellite sensor image

机译:使用单个光学VHR卫星传感器图像估算移动目标的速度和方向

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摘要

The present contribution demonstrates the feasibility and explores the limits of a new method for estimating the velocity and direction of moving targets using a single, optical, very-high-resolution (VHR) satellite sensor dataset. The method is based on the fact that there is a time lag between the data collection of the panchromatic (P) and multi-spectral (MS) sensors in the same VHR platform. Consequently, it is developed around three main steps: (1) accurate image-to-image registration between MS and P images with a sub-pixel displacement error, (2) precise location of barycentre of targets by mathematical morphology-based image transforms, and (3) estimation of the ground velocity and direction of the target using the MS-P spatial displacement, the known time lag, and an image-to-ground transformation taking into account the interior and exterior orientation of the sensors and a terrain height reference. An evaluation of the reliability and limits of the proposed method based on the observation of the results regarding manually selected moving and non-moving targets is included.
机译:本文稿证明了可行性,并探讨了使用单个光学的超高分辨率(VHR)卫星传感器数据集估算移动目标的速度和方向的新方法的局限性。该方法基于以下事实:在同一VHR平台中,全色(P)传感器和多光谱(MS)传感器的数据收集之间存在时间滞后。因此,它围绕三个主要步骤进行开发:(1)在MS和P图像之间进行精确的图像到图像配准,并带有亚像素位移误差;(2)通过基于数学形态学的图像变换来精确定位目标重心; (3)使用MS-P空间位移,已知时滞和考虑传感器的内部和外部方向以及地形高度的图像到地面转换,估算目标的地面速度和方向参考。包括基于与手动选择的移动和非移动目标有关的结果的观察,对所提出方法的可靠性和局限性进行评估。

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