Human centered concepts for exploration and understanding of satellite images

M. Datcu, K. Seidel
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引用次数: 8

Abstract

The progress in information retrieval, computer vision and image analysis makes possible to establish very complete bases of algorithms and operators. A specialist in remote sensing or image processing has the tools now allowing him, at least in theory, to configure applications solving complex problems of image understanding. However, in reality, the Earth observation data analysis is still performed in a very laborious way at the end of repeated cycles of trial and error. To this end we propose a novel advanced remote sensing information processing system, based on human centered concepts, which implement new features and functions allowing improved feature extraction, search on a semantic level, the availability of collected knowledge, interactive knowledge discovery and new visual user interfaces.
以人为中心的概念探索和理解卫星图像
信息检索、计算机视觉和图像分析的进步,使得建立非常完备的算法和算子基础成为可能。遥感或图像处理专家现在拥有的工具至少在理论上允许他配置解决图像理解复杂问题的应用程序。然而,在现实中,对地观测数据的分析仍然是在反复的试错循环中进行的一种非常费力的方法。为此,我们提出了一种新的先进的遥感信息处理系统,该系统基于以人为中心的概念,实现了新的特征和功能,允许改进特征提取,语义级搜索,收集知识的可用性,交互式知识发现和新的可视化用户界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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