上下文地理空间图像理解,管理和可视化

S. Christodoulakis, Michalis Foukarakis, Chrisa Tsinaraki, Eleni Kanellidi, L. Ragia
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引用次数: 4

摘要

我们描述了SPIM(空间图像管理),这是一个框架和系统,允许识别和可视化自然界中遥远物体的语义,这些物体存在于移动设备拍摄的图片中。本质上的语义对象在3D地图上表示,并使用语义和空间描述符进行标记。该系统功能在图片之上创建了一个层,该层允许用户在增强的地理空间图像中进行语义浏览、在图片中进行语义对象识别、对象交互、上下文地图可视化以及在数字图书馆和网络中相互链接信息。我们提出了语义地理空间描述的要求、系统功能、匹配算法和实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contextual Geospatial Picture Understanding, Management and Visualization
We describe SPIM (Spatial Image Management), a framework and a system that allow identification and visualization of the semantics of distant objects in nature, which exist in pictures taken by mobile devices. Semantic objects in nature are represented on 3D maps and tagged with semantic and spatial descriptors. The system functionality creates, on top of pictures, a layer that allows semantic user browsing in augmented geospatial images, semantic object identification in pictures, object interaction, contextual map visualization, and interlinking of information in digital libraries and the web. We present requirements of semantic geospatial descriptions, system functionality, matching algorithms and experimental results.
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