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Skybox image and video product evaluation

机译:Skybox图像和视频产品评估

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摘要

Skybox Imaging launched the SkySat 1 and 2 satellites in 2013 and 2014. They are small and low-cost satellites, capable of recording still images with sub-metre resolution and high definition video for up to 90 seconds of a single target, using a novel focal plane with three 5.5 megapixel frame sensors. To improve resolution and signal-to-noise ratio of the still imagery, multiple frames are fused with super-resolution image merging. This article evaluates the SkySat image quality and georeferencing performance. For comparison, Worldview-3 (WV-3) data acquired over the same area is evaluated using the same procedure and reference data. Results show that georeferencing of SkySat still imagery products requires more ground control than other very high resolution sensors. Results from the Las Vegas video show that speed of moving vehicles in videos can be detected to better than 0.8 mph and that automatic motion detection can be used to georeference videos to street vector databases. Generation of digital surface models from video show a height accuracy of 1.2 m (NMAD).
机译:Skybox Imaging在2013年和2014年发射了SkySat 1和2卫星。它们是小型且低成本的卫星,能够使用新颖的技术以单个目标最多90秒的时间记录亚微米分辨率的静态图像和高清视频。焦平面,带有三个5.5兆像素帧传感器。为了提高静止图像的分辨率和信噪比,将多个帧与超分辨率图像合并在一起。本文评估了SkySat的图像质量和地理配准性能。为了进行比较,使用相同的程序和参考数据评估在同一区域内获取的Worldview-3(WV-3)数据。结果表明,与其他超高分辨率传感器相比,对SkySat静止图像产品进行地理配准需要更多的地面控制。拉斯维加斯视频的结果表明,视频中行驶的车辆的速度可以检测到优于0.8 mph的速度,并且可以使用自动运动检测将视频地理参考到街道矢量数据库。从视频生成的数字表面模型显示出1.2 m(NMAD)的高度精度。

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