Detection of ringforts from aerial photography using machine learning

Keith Phelan, D. Riordan
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引用次数: 4

Abstract

Ringforts are one of the most populous field monuments in Ireland with approximately 45000 examples surviving to date. Their distribution and dispersal patterns are key to our understanding of the habitation patterns of our ancestors. Due to the nature of these structures and the construction materials used, centuries of abandonment means that they often go unnoticed at ground level, while being easily identified from an aerial perspective. The increased requirements of land use for the development of urban areas, infrastructure and increased industrialised farming practices means that these monuments are under threat. Recent developments in the field of machine learning coupled with access to hi-resolution multi-spectral satellite imagery from Open Data sources, presents the opportunity to investigate the development of a system for the automated detection of these features. If successful, such a system could provide an automated, efficient and cost effective tool for the detection of interference or destruction of known sites as well as the discovery of new ones.
利用机器学习从航空摄影中检测环形堡垒
Ringforts是爱尔兰最受欢迎的野外遗迹之一,至今约有45000个幸存下来。它们的分布和扩散模式是我们了解祖先居住模式的关键。由于这些结构的性质和所使用的建筑材料,几个世纪的废弃意味着它们通常在地面上不被注意,而从空中的角度很容易识别。城市地区、基础设施和工业化农业的发展对土地使用的要求越来越高,这意味着这些纪念碑正受到威胁。机器学习领域的最新发展,加上来自开放数据源的高分辨率多光谱卫星图像的访问,为研究自动检测这些特征的系统的开发提供了机会。如果成功,这种系统可以提供一种自动化、高效率和成本效益高的工具,用于探测对已知场址的干扰或破坏以及发现新的场址。
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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