REA-FM: automated generation of natural-looking flow maps through river extraction algorithm-Reference-Cited by-同舟云学术

REA-FM: automated generation of natural-looking flow maps through river extraction algorithm

Published:2024-03-04 Issue: Volume: Page:1-21
ISSN:1523-0406
Container-title:Cartography and Geographic Information Science
language:en
Short-container-title:Cartography and Geographic Information Science

Author:

Wei Zhiwei¹²³^ORCID,Ding Su⁴,Xu Wenjia⁵,Fang Jifei²³,Liu Chunbo²³^ORCID,Wang Yang²³

Affiliation:

1. Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ), Shenzhen, China

2. Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

3. The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

4. College of Environmental and Resource Science, Zhejiang A & F University, China

5. School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China

Funder

National Natural Science Foundation of China

National Key Laboratory of Microwave Imaging Technology Grant

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15230406.2024.2311259

Reference31 articles.

1. An efficient assignment of drainage direction over flat surfaces in raster digital elevation models

2. Flow Map Layout via Spiral Trees

3. The extraction of drainage networks from digital elevation data

4. Debiasi, A., Simões, B., & De Amicis, R. (2014). Supervised force directed algorithm for the generation of flow maps. In V. Skala (Ed.), WSCG 2014-Full Papers Proceedings (pp. 193–202). Union Agency. http://wscg.zcu.cz/WSCG2013/!_2013-WSCG-Full-proceedings.pdf

5. Using Eye Tracking to Evaluate the Usability of Flow Maps