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SUBAQUATIC DIGITAL ELEVATION MODELS FROM UAV-IMAGERY

机译:无人机图像的次生数字高程模型

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The paper presents an approach for the generation of digital elevation models (DEMs) of underwater areas from aerial images. Standard software-products do not provide the possibility to measure correctly through refractive interfaces, such as water. Existing solutions for that problem are based on oriented images and known water levels with the DEM points determined by forward intersection based on reconstructed image ray paths (ray tracing). In this article we present an integrated procedure for image orientation as well as DEM mass point determination from aerial imagery containing both land and underwater areas. The proof of concept was done by capturing UAV imagery of shallow water areas of a high-alpine lake in the Swiss alps. In the paper the processed dataset will be presented. Furthermore, the extraction and matching of image-points observed through water are discussed. The accuracy potential as well as practical limitations of processing multimedia-data are analysed.
机译:本文提出了一种从航拍图像生成水下区域数字高程模型(DEM)的方法。标准软件产品无法提供通过折射界面(例如水)正确测量的可能性。针对该问题的现有解决方案是基于定向图像和已知水位的,其中DEM点是根据重建的图像光线路径(光线跟踪)由前向相交确定的。在本文中,我们介绍了一种用于从包含陆地和水下区域的航空影像中进行图像定向和DEM质量点确定的集成程序。通过在瑞士阿尔卑斯山的高高山湖泊浅水区拍摄无人机影像,完成了概念验证。在本文中,将介绍处理后的数据集。此外,讨论了通过水观察到的图像点的提取和匹配。分析了处理多媒体数据的准确性潜力和实际局限性。

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