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COMPILATION OF A REMOTE SENSING IMAGE FUSION ATLAS

机译:遥感影像融合图集的编制

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Remote sensing delivers multi-modal and -temporal data from the Earth's surface. In order to cope with these multi-dimensional data sources and to make the most out of them, image fusion is a valuable tool. It has developed over the past few decades into a usable image processing technique for extracting information of higher quality and reliability. As more sensors and advanced image fusion techniques have become available, researchers have conducted a vast amount of successful studies using image fusion. However, the definition of an appropriate workflow prior to processing the imagery requires knowledge in all related fields - i.e. remote sensing, image fusion and the desired image exploitation processing. From the results, it is can be seen that the choice of the appropriate technique, as well as the fine tuning of the individual parameters of this technique, is crucial. There is still a lack of strategic guidelines due to the complexity and variability of data selection, processing techniques and applications. This paper describes the results of a project that forms part of a larger initiative to streamline data selection, application requirements and the choice of a suitable image fusion technique. It aims at collecting successful image fusion cases that are relevant to other users and other areas of interest around the world. From these cases, common guidelines which are valuable contributions to further applications and developments have been derived. The availability of these guidelines will help to identify bottlenecks, further develop image fusion techniques, make best use of existing multimodal images and provide new insights into the Earth's processes. The outcome is a remote sensing image fusion atlas (book) in which successful image fusion cases are displayed and described, embedded in common findings and generally valid statements in the field of image fusion.
机译:遥感从地球表面传递多模式和时态数据。为了应对这些多维数据源并充分利用它们,图像融合是一种有价值的工具。在过去的几十年中,它已经发展成为可用于提取更高质量和可靠性的信息的可用图像处理技术。随着越来越多的传感器和先进的图像融合技术的出现,研究人员已经使用图像融合进行了大量成功的研究。但是,在处理图像之前定义适当的工作流程需要所有相关领域的知识,即遥感,图像融合和所需的图像利用处理。从结果可以看出,选择合适的技术以及对该技术的各个参数进行微调是至关重要的。由于数据选择,处理技术和应用的复杂性和可变性,仍然缺乏战略指导。本文描述了该项目的结果,该项目是简化数据选择,应用程序要求以及选择合适的图像融合技术的一项较大计划的一部分。它旨在收集与其他用户和全球其他感兴趣领域相关的成功图像融合案例。从这些案例中,得出了有助于进一步应用和发展的宝贵准则。这些准则的可用性将有助于发现瓶颈,进一步发展图像融合技术,充分利用现有的多模式图像,并提供对地球过程的新见解。结果是建立了遥感图像融合地图集(书),其中显示和描述了成功的图像融合案例,并嵌入了图像融合领域的常见发现和普遍有效的陈述中。

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