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首页> 外文期刊>International Journal of Computer Vision >Automatic Geolocation Correction of Satellite Imagery
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Automatic Geolocation Correction of Satellite Imagery

机译：卫星影像的自动地理位置校正

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摘要

Modern satellites tag their images with geolocation information using GPS and star tracking systems. Depending on the quality of the geopositioning equipment, errors may range from a few meters to tens of meters on the ground. At the current state of art, there is no established method to automatically correct these errors limiting the large-scale joint utilization of cross-platform satellite images. In this paper, an automatic geolocation correction framework that corrects images from multiple satellites simultaneously is presented. As a result of the proposed correction process, all the images are effectively registered to the same absolute geodetic coordinate frame. The usability and the quality of the correction framework are demonstrated through a 3-D surface reconstruction application. The 3-D surface models given by original satellite geopositioning metadata, and the corrected metadata, are compared. The quality difference is measured through an entropy-based metric applied to the orthographic height maps given by the 3-D surface models. Measuring the absolute accuracy of the framework is harder due to lack of publicly available high-precision ground surveys. However, the geolocation of images of exemplar satellites from different parts of the globe are corrected, and the road networks given by OpenStreetMap are projected onto the images using original and corrected metadata to demonstrate the improved quality of alignment.
机译：现代卫星使用GPS和恒星跟踪系统，通过地理位置信息标记其图像。根据地理定位设备的质量，地面上的误差范围可能从几米到几十米。在当前技术水平上，还没有建立自动校正这些错误的方法，从而限制了跨平台卫星图像的大规模联合利用。本文提出了一种自动地理定位校正框架，可同时校正来自多颗卫星的图像。作为提出的校正过程的结果，所有图像都有效地配准到同一绝对大地坐标系。通过3D表面重建应用程序演示了校正框架的可用性和质量。比较了原始卫星地理元数据和校正后的元数据给出的3D表面模型。质量差异是通过将基于熵的度量应用于3D表面模型给出的正交高度图来测量的。由于缺乏公开可用的高精度地面测量，因此很难测量框架的绝对准确性。但是，来自全球不同地区的样例卫星图像的地理位置已得到校正，并且使用原始和校正后的元数据将OpenStreetMap给出的道路网络投影到图像上，以展示更高的对准质量。

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