ABSTRACT

The developing convergence of Artificial Intelligence and GIScience has raised a concern on the emergence of deep fake geography and its potentials in transforming human perception of the geographic world. Situating fake geography under the context of modern cartography and GIScience, this paper presents an empirical study to dissect the algorithmic mechanism of falsifying satellite images with non-existent landscape features. To demonstrate our pioneering attempt at deep fake detection, a robust approach is then proposed and evaluated. Our proactive study warns of the emergence and proliferation of deep fakes in geography just as “lies” in maps. We suggest timely detections of deep fakes in geospatial data and proper coping strategies when necessary. More importantly, it is encouraged to cultivate a critical geospatial data literacy and thus to understand the multi-faceted impacts of deep fake geography on individuals and human society.

摘要

人工智能和地理信息科学的发展融合引起了人们对深度虚假地理的出现及其在改变人类对地理世界感知的潜力的担忧。本文将虚假地理置于现代制图学和 GIS 科学的背景下，提出了一项实证研究，以剖析伪造不存在景观特征的卫星图像的算法机制。为了展示我们在深度伪造检测方面的开创性尝试，我们提出并评估了一种稳健的方法。我们的前瞻性研究警告说，地理中的深度伪造就像地图中的“谎言”一样出现和扩散。我们建议及时检测地理空间数据中的深度伪造，并在必要时采取适当的应对策略。更重要的是，