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DSM generation from high resolution COSMO-SkyMed imagery with radargrammetric model

机译:使用雷达测量模型从高分辨率COSMO-SkyMed影像生成DSM

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摘要

The availability of new high resolution radar spaceborne sensors offers new interesting potentialities for the geomatics application: spatial and temporal change detection, features extraction, generation of Digital Surface (DSMs). As regards the DSMs generation from new high resolution data (as SpotLight imagery), the development and the accuracy assessment of method based on radargrammetric approach are topics of great interest and relevance. The aim of this investigation is the DSM generation from a COSMO-SkyMed Spotlight stereo pair with the radargrammetric technique. DSM generation procedure consists of two basic steps: the stereo pair orientation and the image matching. The suite for radargrammetric approach has been implemented in SISAR (Software per Immagini Satellitari ad Alta Risoluzione), a scientific software developed at the Geodesy and Geomatic Institute of the University of Rome “La Sapienza”. As regard the image matching the critical issue is the definition of a strategy to search the corresponding points; in SISAR software, an original matching procedure has been developed, based on a coarse-to-fine hierarchical solution with an effective combination of geometrical constrains and an Area Base Matching (ABM) algorithm.
机译:新型高分辨率雷达星载传感器的可用性为地理学应用提供了新的有趣潜力:空间和时间变化检测,特征提取,数字表面(DSM)生成。关于从新的高分辨率数据(如SpotLight影像)生成DSM的问题,基于雷达测量法的方法的开发和准确性评估是非常重要和有意义的主题。这项研究的目的是采用雷达测绘技术从COSMO-SkyMed Spotlight立体声对产生DSM。 DSM生成过程包括两个基本步骤:立体声对方向和图像匹配。雷达测量法套件已在SISAR中实现,该软件是由罗马大学“大地测量学与地理研究所”“ La Sapienza”开发的科学软件,SISAR(Immagini Satellitari ad Alta Risoluzione的软件)。关于图像匹配,关键问题是搜索相应点的策略的定义。在SISAR软件中,基于具有几何约束和Area Base Matching(ABM)算法有效结合的从粗到精的分层解决方案,已经开发了原始的匹配过程。

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