地理空间智能研究进展和面临的若干挑战

doi:10.11947/j.AGCS.2021.20200420

摘要/Abstract

摘要： 随着地理空间科学、人工智能、高性能计算技术的迅速发展，地理空间智能已成为处理和分析地理空间大数据的主要手段，并将在地球科学、空间认知、智慧城市、智慧社会等科学研究、工程建设和社会发展中发挥越来越重要的作用。地理空间智能作为地理空间科学和人工智能深度融合的交叉领域，其发展受到多学科的驱动，目前已在算力增强软硬件研制、系统开发、数据与模型共享、服务与应用方面不断取得进展，显示出巨大的活力和潜能，同时难题和挑战也相生相伴。本文首先阐述地理空间智能的概念演进、若干技术系统构建思路和国内外科学研究现状，然后梳理地理空间智能的典型应用，分析地理空间智能面临的问题和挑战，最后对其重要的发展方向及趋势予以展望。

关键词: 地理空间智能, 地理空间科学, 人工智能, 高性能计算, 深度学习

Abstract: With the rapid development of geospatial science, artificial intelligence, and high-performance computing, geospatial artificial intelligence has become the major technique for processing and analyzing geospatial big data, and will be widely used in the scientific research and engineering application of earth science, spatial cognition, and smart city. Geospatial intelligence, as an inter-discipline between geospatial science and artificial intelligence, is driven by dual disciplines. At present, it has made important progress in hardware research, system development, data and model sharing, services and applications, and is also facing new challenges. This paper first describes the conceptual evolution of geospatial artificial intelligence and lists the frameworks of some technical systems. The paper then reviews the state-of-the-art in the scientific research and typical application domains. The problems and challenges facing geospatial intelligence are analyzed. Finally, some future prospects and trends are presented.

Key words: geospatial artificial intelligence, geospatial science, artificial intelligence, high-performance computing, deep learning

中图分类号:

P208

张永生, 张振超, 童晓冲, 纪松, 于英, 赖广陵. 地理空间智能研究进展和面临的若干挑战[J]. 测绘学报, 2021, 50(9): 1137-1146.

ZHANG Yongsheng, ZHANG Zhenchao, TONG Xiaochong, JI Song, YU Ying, LAI Guangling. Progress and challenges of geospatial artificial intelligence[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(9): 1137-1146.

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