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arXiv 2406.13697astro-ph.EPastro-ph.IM
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地球观测卫星图像中运动目标的检测:验证

Detection of Moving Objects in Earth Observation Satellite Images: Verification

Eric Keto, Wesley Andres Watters

AI总结:

针对Planet Labs存档多光谱镶嵌图无唯一波段采集时间、难以检测运动目标的问题,本研究用2024年飞越美国及哥伦比亚上空的高空气球图像,验证了此前提出的从图像自身确定相对采集时间以测量运动目标视速度的方法的有效性。

摘要:

在采用推扫式扫描的地球观测卫星(如Planet Labs Corp.运营的卫星)所拍摄的多光谱图像中,运动目标可通过其在各光谱波段中出现在不同位置的特征被识别出来。若不同波段图像间的相对采集时间能达到毫秒级精度,就可以测量目标的视速度。Planet Labs存档中的图像是由不同时间采集的单张曝光影像拼接而成的镶嵌图,因此每个光谱波段不存在唯一的采集时间。在早前的一篇论文中,我们提出了一种从图像自身信息中确定相对采集时间的方法。高空气球是测试我们所提方法的极佳目标,因为卫星的轨道速度以及对齐至地面高度的图像中的几何视差,会让这类气球具有很高的视速度。我们使用2024年2月飞越美国的中国气球的图像,以及一个相同型号气球在哥伦比亚上空的图像来测试我们的方法。我们提出的方法效果良好,能够利用存档中可用的信息测量运动目标的视速度。

英文摘要:

In multi-spectral images made by Earth observation satellites that use push-broom scanning, such as those operated by Planet Labs Corp., moving objects can be identified by the appearance of the object at a different locations in each spectral band. The apparent velocity can be measured if the relative acquisition time between images in different spectral bands is known to millisecond accuracy. The images in the Planet Labs archive are mosaics of individual exposures acquired at different times. Thus there is not a unique acquisition time for each spectral band. In an earlier paper, we proposed a method to determine the relative acquisition times from the information in the images themselves. High altitude balloons provide excellent targets to test our proposed method because of their high apparent velocity due to the orbital velocity of the satellite and geometric parallax in images aligned to the level of the ground. We use images of the Chinese balloon that crossed the US in February, 2024 as well as images of an identical balloon over Colombia to test our method. Our proposed method appears to be successful and allows the measurement of the apparent velocity of moving objects from the information available in the archive.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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