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一份解密的军用红外视频中,以480英里/小时速度报告的六个物体显示出与鸟类振翅频率一致的亮度闪烁

Six objects reported at 480 mph in a declassified military infrared video show brightness flicker at bird wingbeat rates

Jacob Haqq-Misra, Ravi Kopparapu, Richard Cloete, Omer Eldadi, Michael Shermer, Abraham Loeb

arXiv 2610.08692首次发表:更新:

发表机构

Blue Marble Space; NASA Goddard Space Flight Center; Harvard University; The Skeptics Society(蓝色大理石空间; NASA戈达德太空飞行中心; 哈佛大学; 怀疑论者协会)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

该研究分析解密红外视频中六个快速移动物体的亮度闪烁,发现频率符合鸟类振翅,判定其为近距飞行的鸟群,并展示了可复现的定量分析方法。

AI 中文摘要

2026年9月,美国战争部发布了一段从一架飞越中东的军用飞机上记录的红外视频,随附的任务报告描述了六个小型球形物体,估计以每小时480英里的速度移动。我们测量了每个物体在每一帧中的亮度。所有六个物体均以每秒7.1至7.9次的频率稳定地变亮和变暗,每个物体各有其独特的频率,且彼此不同步。通过植入恒定亮度物体的测试表明,无论是压缩还是传感器本身都不会产生这种闪烁。同样的分析应用于伽利略项目在拉斯维加斯附近的地基红外摄像机时,发现飞行中的动物以每秒3.4至10.0次的频率稳定拍动,处于鸟类振翅频率范围内。一个几乎静止的物体,若其高度为飞机高度的60%至80%,则会产生报告中所称的地面投影速度每小时480英里。这六个物体最合理的解释是一小群鸟类,它们飞行时距离飞机比机组人员所认为的更近。更广泛地说,这项工作表明,即使是经过大量编辑的不明异常现象视频,也可以通过可重复的定量方法来分析,以检验特定假设。公布经过编辑的传感器和平台数据将提供可能反驳这些假设的信息。

英文摘要

In September 2026 the U.S. Department of War released an infrared video recorded from a military aircraft over the Middle East, with a mission report describing six small spherical objects moving at an estimated 480 miles per hour. We measure the brightness of each object in every frame. All six brighten and dim steadily at 7.1-7.9 times per second, each at its own rate and out of step with the others. Tests with planted constant-brightness objects show that neither compression nor the sensor produces this flicker. The same analysis, applied to the Galileo Project's ground-based infrared cameras near Las Vegas, finds flying animals beating steadily at 3.4-10.0 times per second, within the range of bird wingbeats. A nearly stationary object at 60-80% of the aircraft's height would produce the reported ground-projected speed of 480 miles per hour. The six objects are best explained as a small flock of birds flying nearer to the aircraft than the crew assumed. More broadly, this work shows that even heavily redacted videos of unidentified anomalous phenomena can be analyzed using reproducible, quantitative methods to test specific hypotheses. Releasing the redacted sensor and platform data would provide information that could refute these hypotheses.

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