Overview of Research Progress and Reflections in Intelligent Map Generalization

被引：0
|
作者：
Wu F. [1 ]
Du J. [1 ,2 ]
Qian H. [1 ]
Zhai R. [1 ]
机构：
[1] Institute of Geospatial Information, Information Engineering University, Zhengzhou
[2] Institute of Aerospace Command, University of Aerospace Engineering, Beijing
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2022年 / 47卷 / 10期
基金：
中国国家自然科学基金;
关键词：
deep learning; intellectualization; machine learning; map generalization;
D O I：
10.13203/j.whugis20210687
中图分类号：
学科分类号：
摘要：
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. © 2022 Wuhan University. All rights reserved.
引用
收藏
页码：1675 / 1687
页数：12
相关论文
共 111 条
  • [1] Jiayao Wang, Qun Sun, Jiangxia Wang, Theories and Methods of Cartography, (2014)
  • [2] Brassel K E，, Weibel R., A Review and Conceptual Framework of Automated Map Generalization［J］, International Journal of Geographical Information Systems, 2, 3, pp. 229-244, (1988)
  • [3] Jiayao Wang, The Progress and Trend of Automatic Generalization of Spatial Data［J］, Journal of Geomatics Science and Technology, 25, 1, pp. 1-7, (2008)
  • [4] Li Z L., Digital Map Generalization at the Age of Enlightenment：A Review of the First Forty Years［J］, The Cartographic Journal, 44, 1, pp. 80-93, (2007)
  • [5] Cebrykow P., Cartographic Generalization Yesterday and Today ［J］, Polish Cartographical Review, 49, 1, pp. 5-15, (2017)
  • [6] Fang Wu, Xianyong Gong, Jiawei Du, Overview of the Research Progress in Automated Map Generalization［J］, Acta Geodaetica et Cartographica Sinica, 46, 10, pp. 1645-1664, (2017)
  • [7] Lecordix F，, Plazanet C，, Lagrange J P., A Platform for Research in Generalization：Application to Caricature［J］, GeoInformatica, 1, 2, pp. 161-182, (1997)
  • [8] Tinghua Ai, Renzhong Guo, Yaolin Liu, A Binary Tree Representation of Curve Hierarchical Structure in Depth［J］, Acta Geodaetica et Cartographica Sinica, 30, 4, pp. 343-348, (2001)
  • [9] Qingsheng Guo, Yuanlin Huang, Liping Zhang, The Method of Curve Bend Recognition［J］, Geomatics and Information Science of Wuhan University, 33, 6, pp. 596-599, (2008)
  • [10] Dongliang Peng, Min Deng, Huimin Liu, Morphing Transformation of Linear Features by Using Independent Bend Structures more Sufficiently［J］, Acta Geodaetica et Cartographica Sinica, 43, 6, pp. 637-644, (2014)
12345678910