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Open AccessArticle

City Grade Classification Based on Connectivity Analysis by Luojia I Night-Time Light Images in Henan Province, China

1
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China
2
Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(11), 1705; https://doi.org/10.3390/rs12111705
Received: 27 April 2020 / Revised: 21 May 2020 / Accepted: 25 May 2020 / Published: 27 May 2020
(This article belongs to the Special Issue Remote Sensing of Nighttime Observations)
City classification can provide important data and technical support for city planning and government decision-making. Traditional city classification mainly relies on the accumulation and analysis of census data, which requires a large time period and relies heavily on historical and statistical data. This paper mainly utilizes Luojia I Night-Time Light (NTL) images to analyze the rank classification of cities in Henan Province, China. Intensity values can be expressed as the mathematical surface of continuous human activities, and the basic characteristics of urban structures are determined by analogy with the topography of the earth. A connectivity analysis method for NTL images is proposed to analyze the connected regions of images at different intensity levels. By constructing a tree structure, different cities can be analyzed “crosswise” and “lengthwise” to generate a series of parametric information from connected regions of NTL images. Based on these parameters, 18 cities in Henan Province were classified and analyzed. The results show that these attribute information can be well used for city center detection and grade classification, and can meet the requirements of application analysis. View Full-Text
Keywords: grade classification; connectivity analysis; tree structure; NTL images; Henan Province grade classification; connectivity analysis; tree structure; NTL images; Henan Province
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MDPI and ACS Style

Zhao, Z.; Cheng, G.; Wang, C.; Wang, S.; Wang, H. City Grade Classification Based on Connectivity Analysis by Luojia I Night-Time Light Images in Henan Province, China. Remote Sens. 2020, 12, 1705.

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