地图综合智能化研究的发展与思考  

Overview of Research Progress and Reflections in Intelligent Map Generalization

作　　者：武芳[1] 杜佳威 钱海忠[1] 翟仁健[1] WU Fang;DU Jiawei;QIAN Haizhong;ZHAI Renjian(Institute of Geospatial Information,Information Engineering University,Zhengzhou 450001,China;Institute of Aerospace Command,University of Aerospace Engineering,Beijing 101416,China)

机构地区：[1]信息工程大学地理空间信息学院,河南郑州450001 [2]航天工程大学航天指挥学院,北京101416

出　　处：《武汉大学学报（信息科学版）》2022年第10期1675-1687,共13页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金(41801396);河南省自然科学基金杰出青年基金(212300410014)。

摘　　要：地图综合是地图制图和多尺度空间数据变换的核心与关键技术。20世纪60年代以来,数字地图数据的自动综合研究逐渐展开并取得了长足的进步,囿于人工智能技术的限制,地图综合的智能解决方法虽有不少成果,但距离真正的智能化、实用化仍有一定的距离。近年来,以深度学习为代表的人工智能技术应用于诸多研究领域并取得显著成效,地图综合的智能化研究也有诸多新的尝试。首先,在归纳自动地图综合研究模式的基础上,阐述了智能地图综合研究的必要性;然后,结合人工智能发展历程回顾智能地图综合研究,梳理和分析了基于传统机器学习与基于深度学习的智能地图综合研究现状,并归纳了地图综合智能化研究的主要方法;最后,围绕地图综合智能化研究中的几个热点问题,探讨了智能地图综合的发展趋势。Map generalization is one of the core technologies of cartography and multi-scale spatial data transformation. Since the 1960s, the research on the automated generalization of map data has gradually developed and made great progress. Furthermore, there are many intelligent solutions on map generalization.However, due to the limitation of the artificial intelligence technology, these intelligent solutions on map generalization are not really intelligent and practical. In the past 10 years, deep learning, as a presentative artificial intelligence technology, was applied in many fields, and the deep-learning-based researches achieved remarkable results. And thus, many new attempts have been made in the intelligent research of map generalization. Firstly, based on analyzing and abstracting models of the automated map generalization, the necessity of the intelligent research on map generalization is pointed out. Secondly, combining with the development of artificial intelligence, the intelligent map generalization is overviewed. Researches of intelligent map generalization based on traditional machine learning and deep learning are sorted and analyzed, and two common strategies of intelligent map generalization are summarized. Finally, focusing on some hot issues of intelligent map generalization, the development tendency of intelligent map generalization is discussed.

关 键 词：地图综合 机器学习 深度学习 智能化 

分 类 号：P283[天文地球—地图制图学与地理信息工程] P237[天文地球—测绘科学与技术]