Liangchen Zhou
Biographic Data
| ID | 5777094 |
|---|---|
| NAME | Liangchen Zhou |
| GIVEN NAMES | Liangchen |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU L |
| AFFILIATIONS | Nanjing Normal University |
| ORCID | 0000-0002-5183-9610 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A mobility-based framework for measuring socio-spatial segregation in 30 U.S. metropolitan areas
Although “segregation” is widely used and often treated as a clear condition, what it actually means for a place to be “highly segregated” remains ambiguous. Studies invoke the term across diverse social and spatial contexts, from income to race, or from residence to facility access, without a shared definition of what segregation entails. This ambiguity obscures comparisons across cities and dimensions, risks misdiagnosing the sources of inequal…
Concept, Framework, and Data Model for Geographical Soundscapes
Existing concepts and frameworks of soundscapes focus on the analysis and description of the sound source but do not explore geographical environment parameters and receiver characteristics in the geographical scene. Existing soundscape data models ignore the geographical environment and receiver information, which limits the comprehensive understanding and expression of soundscapes. They cannot study the relationship between the elements related…
Unveiling city-scale urban roadside charging piles capacity
Isoline extraction based on a global hexagonal grid
A 3D modeling method for buildings based on LiDAR point cloud and DLG
An Indoor Space Model of Building Considering Multi-Type Segmentation
Indoor space is a core part of supporting indoor applications. Most of the existing indoor space models are expressed from three space scales: building, floor, and room, and the granularity is not fine enough, lacking the expression of each functional subspace inside the room. In this study, we first analyzed the spatio-temporal segmentation characteristics of indoor space, and proposed a multi-level indoor space model framework that takes into a…
Automatic Positioning of Street Objects Based on Self-Adaptive Constrained Line of Bearing from Street-View Images
In order to realize the management of various street objects in smart cities and smart transportation, it is very important to determine their geolocation. Current positioning methods of street-view images based on mobile mapping systems (MMSs) mainly rely on depth data or image feature matching. However, auxiliary data increase the cost of data acquisition, and image features are difficult to apply to MMS data with low overlap. A positioning met…
High-Precision Dynamic Traffic Noise Mapping Based on Road Surveillance Video
High-precision dynamic traffic noise maps can describe the spatial and temporal distributions of noise and are necessary for actual noise prevention. Existing monitoring point-based methods suffer from limited spatial adaptability, and prediction model-based methods are limited by the requirements for traffic and environmental parameter specifications. Road surveillance video data are effective for computing and analyzing dynamic traffic-related …
Exploring the distribution of city street greenery from eye-level
Increasing attention has been paid to the analysis of street greenery using the Green View Index (GVI). Current methods of vegetation extraction are not suitable for processing large amounts of data. This study introduces Visible Difference Vegetation Index (VDVI) to process Baidu Map panoramic static images which is relatively convenient for GVI calculation. The method is used to analyse the spatial distribution of street greenery in Guangzhou c…
A Topology Preserving Gridding Method for Vector Features in Discrete Global Grid Systems
Topological distortion seriously affects spatial cognition. To solve this problem caused by the integration of vector features in discrete global grid systems (DGGs), a topology-preserving gridding method for vector features is proposed. The method proposed determines the topological distortion according to the relationship between grid cells and then increases the local resolution of vector features by employing the multi-level resolution charac…
No prominent works on this page.
A Topology Preserving Gridding Method for Vector Features in Discrete Global Grid Systems
Topological distortion seriously affects spatial cognition. To solve this problem caused by the integration of vector features in discrete global grid systems (DGGs), a topology-preserving gridding method for vector features is proposed. The method proposed determines the topological distortion according to the relationship between grid cells and then increases the local resolution of vector features by employing the multi-level resolution charac…
An Indoor Space Model of Building Considering Multi-Type Segmentation
Indoor space is a core part of supporting indoor applications. Most of the existing indoor space models are expressed from three space scales: building, floor, and room, and the granularity is not fine enough, lacking the expression of each functional subspace inside the room. In this study, we first analyzed the spatio-temporal segmentation characteristics of indoor space, and proposed a multi-level indoor space model framework that takes into a…
Automatic Positioning of Street Objects Based on Self-Adaptive Constrained Line of Bearing from Street-View Images
In order to realize the management of various street objects in smart cities and smart transportation, it is very important to determine their geolocation. Current positioning methods of street-view images based on mobile mapping systems (MMSs) mainly rely on depth data or image feature matching. However, auxiliary data increase the cost of data acquisition, and image features are difficult to apply to MMS data with low overlap. A positioning met…
High-Precision Dynamic Traffic Noise Mapping Based on Road Surveillance Video
High-precision dynamic traffic noise maps can describe the spatial and temporal distributions of noise and are necessary for actual noise prevention. Existing monitoring point-based methods suffer from limited spatial adaptability, and prediction model-based methods are limited by the requirements for traffic and environmental parameter specifications. Road surveillance video data are effective for computing and analyzing dynamic traffic-related …
Exploring the distribution of city street greenery from eye-level
Increasing attention has been paid to the analysis of street greenery using the Green View Index (GVI). Current methods of vegetation extraction are not suitable for processing large amounts of data. This study introduces Visible Difference Vegetation Index (VDVI) to process Baidu Map panoramic static images which is relatively convenient for GVI calculation. The method is used to analyse the spatial distribution of street greenery in Guangzhou c…
A 3D modeling method for buildings based on LiDAR point cloud and DLG
Isoline extraction based on a global hexagonal grid
Concept, Framework, and Data Model for Geographical Soundscapes
Existing concepts and frameworks of soundscapes focus on the analysis and description of the sound source but do not explore geographical environment parameters and receiver characteristics in the geographical scene. Existing soundscape data models ignore the geographical environment and receiver information, which limits the comprehensive understanding and expression of soundscapes. They cannot study the relationship between the elements related…
Unveiling city-scale urban roadside charging piles capacity
A mobility-based framework for measuring socio-spatial segregation in 30 U.S. metropolitan areas
Although “segregation” is widely used and often treated as a clear condition, what it actually means for a place to be “highly segregated” remains ambiguous. Studies invoke the term across diverse social and spatial contexts, from income to race, or from residence to facility access, without a shared definition of what segregation entails. This ambiguity obscures comparisons across cities and dimensions, risks misdiagnosing the sources of inequal…
Computer Science (9 works) · Artificial Intelligence (6 works) · Geography (5 works) · Cartography (4 works) · Mathematics (4 works) · Automated Road and Building Extraction (3 works) · Data mining (3 works) · Engineering (3 works) · Remote sensing (3 works) · 3D Modeling in Geospatial Applications (2 works)