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Photogrammetric Processing of a TerraSAR-X Image: Evaluation of Products

机译:Terrasar-X图像的摄影测量处理:产品评估

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TerraSAR-X was the first from a series of very high resolution SAR satellites, which have significantly enlarged the range of cartographic applications of SAR data. For such applications the use of photogrammetric processing, either independently or combined with optical images became meaningful, In this paper the procedures that may be applied on a single SAR image are developed and the quality and accuracy of their products are investigated regarding the impact of using various models or changing the parameters of external data (GCPs, DTM). A Spotlight mode TerraSAR-X image is used for a case study. The area is a mountainous terrain, of 5×10km size, located in the north-eastern region of Athens, Greece. Three alternative registration/georeferencing methods are investigated: the Physical Sensor Model (Range-Doppler method), the DLT and the 2nd order RPF. Orthoimage production using four different DTMs of various quality and density are investigated. Geometric accuracy and quality are investigated using Independent Check Points and through an analysis of the slopes and aspects of the terrain in combination with the geometry of the sensor. Automatic techniques for the extraction of the road network are used; however the results are not satisfactory. In addition, a manual extraction of the roads using visual interpretation is made and the results are evaluated in terms of completeness, correctness and quality. According to the results derived from the above procedures, the use of high resolution TerraSAR-X images is very promising for a variety of applications for which medium scale geometric accuracies are required.
机译:Terrasar-X是一系列非常高分辨率SAR卫星的第一个,这显着扩大了SAR数据的制图应用范围。对于这种应用,使用摄影测量处理,独立地或与光学图像组合的使用变得有意义,在本文中,可以开发可能在单个SAR图像上应用的程序,并研究了他们产品的质量和准确性,关于使用的影响各种型号或更改外部数据的参数(GCP,DTM)。 Spotlight模式Terrasar-X图像用于案例研究。该地区是一个山区地形,5×10km尺寸,位于希腊雅典东北地区。调查了三种替代注册/地理转移方法:物理传感器模型(范围 - 多普勒方法),DLT和2ND阶RPF。研究了使用四种不同的各种质量和密度的不同DTM产生的矫形器产生。使用独立检查点和通过分析地形的分析与传感器的几何形状的分析来研究几何精度和质量。使用用于提取道路网络的自动化技术;然而,结果并不令人满意。此外,制备使用视觉解释的道路的手动提取,结果在完整性,正确性和质量方面进行评估。根据上述过程的结果,使用高分辨率Terrasar-X图像的使用非常有希望对于需要中尺度几何精​​度的各种应用。

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