How will ai transform urban observing, sensing, imaging, and mapping?

IF 9.1 Q1 ENVIRONMENTAL STUDIES
Qihao Weng, Zhiwei Li, Yinxia Cao, Xiaoyan Lu, Paolo Gamba, Xiaoxiang Zhu, Yonghao Xu, Fan Zhang, Rongjun Qin, Micheal. Y. Yang, Peifeng Ma, Wei Huang, Tiangang Yin, Qiming Zheng, Yuhan Zhou, Greg Asner
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Abstract

Advances in artificial intelligence (AI) and Earth observation (EO) have transformed urban studies. This paper provides a commentary on how the AI-EO integration offers advancements in urban studies and applications. We conclude that AI will provide a deeper interpretation and autonomous identification of urban issues and the creation of customized urban designs. Open issues remain, especially in integrating diverse geospatial big data, data security, and developing a general analytical framework.

Abstract Image

人工智能将如何改变城市观测、传感、成像和制图?
人工智能(AI)和地球观测(EO)的进步改变了城市研究。本文评述了人工智能与地球观测的结合如何推动城市研究和应用。我们的结论是,人工智能将对城市问题进行更深入的解读和自主识别,并创造出定制化的城市设计。但仍有一些问题有待解决,特别是在整合各种地理空间大数据、数据安全和开发通用分析框架方面。
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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