利用地面真实照片提高图像解译效率

IF 1.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
G. Gienko, M. Govorov
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引用次数: 0

摘要

世界各地的研究人员在他们的项目中使用遥感图像,包括社会科学和自然科学。但是,用户在处理卫星图像和航空照片时经常遇到困难,因为图像解释需要特定的经验和技能。获得这些技能的最佳方法是进入现场,在头顶图像中确定您的位置,观察景观,并在头顶图像中找到相应的特征。在许多情况下,个人观察可以用传统照相机从地面拍摄的地面照片来代替。本章讨论了地面照片作为实地观测的替代品的价值,详细说明了数据收集的问题,并介绍了使用地面真值照片解释遥感图像的有效性的实验估计结果。本章介绍了GeoTruth的概念——一个基于网络的协作框架,用于收集、存储和分发地面真实照片和相应的元数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving the Efficiency of Image Interpretation Using Ground Truth Terrestrial Photographs
Researchers worldwide use remotely sensed imagery in their projects, in both the social and natural sciences. However, users often encounter difficulties working with satellite images and aerial photographs, as image interpretation requires specific experience and skills. The best way to acquire these skills is to go into the field, identify your location in an overhead image, observe the landscape, and find corresponding features in the overhead image. In many cases, personal observations could be substituted by using terrestrial photographs taken from the ground with conventional cameras. This chapter discusses the value of terrestrial photographs as a substitute for field observations, elaborates on issues of data collection, and presents results of experimental estimation of the effectiveness of the use of terrestrial ground truth photographs for interpretation of remotely sensed imagery. The chapter introduces the concept of GeoTruth – a web-based collaborative framework for collection, storing and distribution of ground truth terrestrial photographs and corresponding metadata.
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来源期刊
International Journal of Agricultural and Environmental Information Systems
International Journal of Agricultural and Environmental Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.70
自引率
0.00%
发文量
10
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