Cartographic Style Transfer: Idea, Review and Envision

WU Mingguang; SUN Yanjie; LÜ Guonian

doi:10.13203/j.whugis20220439

Volume 47 Issue 12

Dec. 2022

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Geomatics and Information Science of Wuhan University > 2022 > 47(12): 2069-2084. > DOI: 10.13203/j.whugis20220439

WU Mingguang, SUN Yanjie, LÜ Guonian. Cartographic Style Transfer: Idea, Review and Envision[J]. Geomatics and Information Science of Wuhan University, 2022, 47(12): 2069-2084. DOI: 10.13203/j.whugis20220439

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Cartographic Style Transfer: Idea, Review and Envision

WU Mingguang^{1, 2, 3,},
SUN Yanjie^{1, 2, ,},
LÜ Guonian^{1, 2, 3}

1.
College of Geographic Sciences, Nanjing Normal University, Nanjing 210023, China
2.
Key Laboratory of Virtual Geographic Environment of Ministry of Education, Nanjing Normal University, Nanjing 210023, China
3.
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

Funds:

The National Natural Science Foundation of China 41971417

The National Natural Science Foundation of China 41930104

The National Natural Science Foundation of China 41571433

More Information

Author Bio:
WU Mingguang, PhD, professor, specializes in spatial information visualization and spatial information service. E-mail: wmg@njnu.edu.cn
Corresponding author:
SUN Yanjie, PhD candidate. E-mail: 201301022@njnu.edu.cn
Received Date: July 20, 2022
Available Online: January 05, 2023
Published Date: December 04, 2022

Graphical Abstract

Abstract

Abstract

Style transfer which originates from computer graphics has attracted broader attention in the field of cartography, considerable efforts have been made on cartographic style transfer algorithms and experimental evaluation. However, it also suffers from unclear demarcation of map style, and lack of evaluation of style transfer results. Therefore, firstly, this paper conceptually analyzes the idea of map style and the applicable scenarios of styled maps. Then, we review existing style transfer methods, and categorize available style transfer methods into three groups and compare them with details: Probability statistics-based, content-based, and neural network-based. We also discuss three major types of map style transfer methods: Image to map, remote sensing imagery to map, and image to relief shading. And we compare the advantages and disadvantages of style transfer with vector and raster maps. Finally, we envision the future research of map style transfer in terms of three possible research questions: How to select reference images, how to evaluate style transfer results, and how to integrate style transfer into map design process.
- map style,
- style transfer,
- artificial intelligence,
- map design,
- pan-map

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References (106)

References

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