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GEOINFORMATION VIA PARALLEL IMAGE ENGINEERINGAND IMAGE INFORMATION MINING

机译:通过并行图像工程和图像信息挖掘进行地理信息

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Earth observation is a fundamental source of informationrnin today's society. A multitude of spacebornernand airborne sensors collect daily an enormous amountrnof information in the form of imagery of the earth. It isrnevident that systematic approaches for informationrnmining in such imagery are required. New sensors andrnimage processing techniques extend the imagerninformation base as well as improve quality and speedrnof availability. In this paper we give information on arnnew, European, high-resolution optical sensor, which isrncurrently implemented for airborne use and willrncontribute to geo-referenced earth observation. Thernproject includes also a new approach for imagernprocessing. Via parallel computing for the purpose ofrnfully automated generation of digital surface models andrnorthomosaics, fundamental geometric and visual geoinformationrnis built up. All of this would be cumbersomernwithout a metadata information system, whichrnallows for archiving and retrieval, dissemination andrnworkflow management. Thus, the paper presents aspectsrnof image generation as well as aspects of imagerninformation mining.
机译:地球观测是当今社会的基本信息来源。大量的太空传感器和机载传感器每天以地球图像的形式收集大量的信息。很明显,在这种图像中需要系统的信息挖掘方法。新的传感器和图像处理技术扩展了图像信息基础,并提高了质量和速度。在本文中,我们提供了有关arnnew,欧洲高分辨率光学传感器的信息,该传感器目前已实现用于机载用途,并将为地球参考地球观测做出贡献。该项目还包括一种用于图像处理的新方法。通过并行计算以完全自动化地生成数字表面模型和正交镶嵌的目的,建立了基本的几何和视觉地理信息。如果没有元数据信息系统,所有这些工作将非常繁琐,从而无法进行归档和检索,分发和工作流管理。因此,本文介绍了图像生成的各个方面以及图像信息挖掘的各个方面。

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