Remote sensing data covering large geographical areas can be easily accessed and are being acquired with greater frequency. The massive volume of data requires an automated image analysis system. By taking advantage of the increasing availability of data using computer vision, we can design specific systems to automate data analysis and detection of archaeological objects. In the past decade, there has been a rise in the use of automated methods to assist in the identification of archaeological sites in remote sensing imagery. These applications offer an important contribution to non-intrusive archaeological exploration, helping to reduce the traditional human workload and time by signalling areas with a higher probability of presenting archaeological sites for exploration. This survey describes the state of the art of existing automated image analysis methods in archaeology and highlights the improvements thus achieved in the detection of archaeological monuments and areas of interest in landscape-scale satellite and aerial imagery. It also presents a discussion of the benefits and limitations of automatic detection of archaeological structures, proposing new approaches and possibilities.

中文翻译：

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文化遗产图像检测的自动化方法：概述与展望

覆盖大片地理区域的遥感数据可以很容易地获取，而且获取频率也越来越高。海量数据需要自动图像分析系统。通过使用计算机视觉利用越来越多的数据可用性，我们可以设计特定的系统来自动进行数据分析和考古对象的检测。在过去十年中，越来越多地使用自动化方法来协助识别遥感图像中的考古遗址。这些应用程序为非侵入式考古探索做出了重要贡献，通过向更有可能出现考古遗址进行探索的区域发出信号，帮助减少传统的人类工作量和时间。该调查描述了考古学中现有自动图像分析方法的最新技术水平，并强调了在检测考古遗迹和景观卫星和航空图像中感兴趣的区域方面取得的进步。它还讨论了自动检测考古结构的好处和局限性，提出了新的方法和可能性。