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The georeferencing of RASAT satellite imagery and some practical approaches to increase the georeferencing accuracy

机译:RASAT卫星图像的地理配准和提高地理配准精度的一些实用方法

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摘要

RASAT Earth Observation Satellite is the second remote sensing satellite of The Scientific and Technological Research Council of Turkey (TUBITAK) Space Technologies Search Institute (TUBITAK Space). Generally, the first step to utilize the satellite imagery in GIS applications is the accurate geometric correction of the imagery. But, the geometric correction process of RASAT images is somewhat difficult due to insufficient orbit data and lack of satellite imagery processing software with RASAT model. Although the geolocation of RASAT images is investigated in some recent studies, subpixel accuracies cannot be achieved. In this study, different geometric correction methods and combination of them are tested with a more interactive workflow that uses the results of other approaches. Results show that these approaches can be used for the geometric correction of RASAT like pushbroom satellite images with insufficient orbit data and better geolocation accuracies can be achieved by different geometric correction approaches.
机译:RASAT地球观测卫星是土耳其科学技术研究理事会(TUBITAK)空间技术搜索研究所(TUBITAK Space)的第二颗遥感卫星。通常,在GIS应用程序中利用卫星图像的第一步是图像的精确几何校正。但是,由于轨道数据不足以及缺乏具有RASAT模型的卫星图像处理软件,导致RASAT图像的几何校正过程有些困难。尽管最近的一些研究对RASAT图像的地理位置进行了研究,但仍无法实现亚像素精度。在这项研究中,通过使用其他方法的结果的更具交互性的工作流测试了不同的几何校正方法及其组合。结果表明,这些方法可以用于RASAT的几何校正,例如轨道数据不足的推扫卫星图像,并且通过不同的几何校正方法可以实现更好的地理位置精度。

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