Using Remote Sensing Data and Graph Theory to Identify Polycentric Urban Structure-Reference-Cited by-同舟云学术

Using Remote Sensing Data and Graph Theory to Identify Polycentric Urban Structure

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Xie Zhiwei¹^ORCID,Yuan Mingliang²,Zhang Fengyuan³^ORCID,Chen Min¹^ORCID,Shan Jiaqiang²,Sun Lishuang²,Liu Xintao³^ORCID

Affiliation:

1. Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), the State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province), and the Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China

2. School of Transportation and Geomatics Engineering, Shenyang Jianzhu University, Shenyang, China

3. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong, China

Funder

National Natural Science Foundation of China

Humanities and Social Science Foundation of the Ministry of Education of China

Basic Research Programs of Colleges and Universities of Liaoning Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10014660.pdf?arnumber=10014660

Reference21 articles.

1. A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing

2. Attack Robustness and Centrality of Complex Networks

3. The application of ‘least-cost’ modelling as a functional landscape model

4. Responses of Suomi-NPP VIIRS-derived nighttime lights to socioeconomic activity in China’s cities

5. Evaluating Urban Heat Islands Using the Urban Viability Index (Case Study: Karaj Metropolis)

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