基于雷达遥感技术的DEM生成新标准研究

W. Tampubolon, W. Reinhardt, F. Amhar
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摘要

数字高程模型(DEM)是基础的地理空间数据,可以对地球现象进行可靠的分析。因此,许多研究人员将DEM作为一个整体输入考虑因素。另一方面,地理空间数据和信息产业需要一个适当的标准和方法,在新技术进步的同时满足用户的需求。因此,DEM是一种从地理数据采集中产生的产品,可以用作开发决策支持系统(DSS)的重要输入。如果产品的质量足够,例如在分辨率和准确性方面,则可以发挥关键作用。定义一种最新的、可靠的标准机制,使用雷达干涉数据处理来推导DEM,这是成功生成一致的国家DEM的主要问题,可以作为利益相关者的参考。TanDEM-X使用x波段作为中波,而Sentinel 1使用c波段,各有优缺点。TanDEM-X实现了一种更强大、更一致的方法,通过同时测量来执行采集,这对于生成DEM来说通常更准确、更可靠。然而,许多因素影响着平台的选择,可以最适合雷达干涉测量。最后,本文解释了雷达干涉测量系统的地理空间数据采集和处理标准,这些标准将有可能实现,以加速大比例尺地形测绘(LSTM)数据的产生。特别是在目前数据采集平台中存在多种高分辨率传感器的情况下,雷达干涉测量技术作为一种替代解决方案提出,以适应和利用其优势,以适用于LSTM目的。
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Toward A New Standard for DEM Generation Based On Radar Remote Sensing Technology
A Digital Elevation Model (DEM) is fundamental geospatial data that can enable a reliable analysis of earth phenomena. For that reason, many researchers have combined DEM as an integral input consideration. On the other hand, the geospatial data and information industries require a proper standard and approach that can fulfill the user requirements in parallel with the advancement of new technologies. Therefore, DEM is a product generated from geodata acquisition that can be used as a significant input to developing a Decision Support System (DSS). The key role can be fulfilled if the quality of the product is sufficient, for example, in terms of resolution and accuracy. Defining an up-to-date and reliable standard mechanism to derive a DEM using radar interferometric data processing is the main issue for the successful production of a consistent national DEM to be used as a reference by the stakeholders. While TanDEM-X uses X-band as its medium wave, Sentinel 1 uses C-band with its advantages and drawbacks. TanDEM-X implements a more robust and consistent approach to performing the acquisition by simultaneous measurements, which are generally more accurate and reliable for the DEM generation. However, many factors influence the selection of a platform that can be best suited for radar interferometry. Finally, this paper explains the geospatial data acquisition and processing standards for the radar interferometry system that will be potentially implemented to accelerate the Large Scale Topographic Mapping (LSTM) data production. Especially in the presence of high-resolution sensors with a lot of variety in the data acquisition platform nowadays, the radar interferometry technique raises as an alternative solution to accommodate and utilize its advantages in an applicative way for LSTM purposes.
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