Shunping Zhou
Biographic Data
| ID | 7927120 |
|---|---|
| NAME | Shunping Zhou |
| GIVEN NAMES | Shunping |
| FAMILY NAME | Zhou |
| SIGNATURE | ZHOU S |
| AFFILIATIONS | China University of Geosciences |
| ORCID | 0000-0002-2697-3383 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Deciphering the causes of getting lost in complex urban space
Text Geolocation Prediction via Self-Supervised Learning
Text geolocation prediction aims to infer the geographic location of text with text semantics, serving as a fundamental task for various geographic applications. As the mainstream approach, the deep learning-based methods follow the supervised learning paradigms, which rely heavily on a large amount of labeled samples to train model parameters. To address this limitation, this paper presents a method for text geolocation prediction without labele…
Integrating Multiple Semantics of Street View Imagery for Semi-Supervised Building Function Identification
Building function identification plays a crucial role in providing basic data for urban planning, management, and various intelligent applications. Today, building function identification methods using Street View Images (SVIs) have made significant progress. However, these methods use the visual features of SVIs to infer building functions, which ignores the contributions of the multiple potential semantics of SVIs, resulting in suboptimal ident…
A Similarity Metric Method for Contour Line Groups Considering Terrain Features
Contour lines, as the primary elements of fundamental geospatial data, have long been a research focus for similarity measurement. With the evolution of cartographic generalization, the representation of contour lines across varying scales must maintain the consistency of specific information. Typically, the rationality of the generated results is assessed based on their similarity values. However, current measurements for measuring contour simil…
Enhancing Place Emotion Analysis with Multi-View Emotion Recognition from Geo-Tagged Photos
User-generated geo-tagged photos (UGPs) have emerged as a valuable tool for analyzing large-scale tourist place emotions with unprecedented detail. This process involves extracting and analyzing human emotions associated with specific locations. However, previous studies have been limited to analyzing individual faces in the UGPs. This approach falls short of representing the contextual scene characteristics, such as environmental elements and ov…
Mac-Gan
Community roads are crucial to community navigation. There are automatic methods to obtain community roads using trajectories, but the sparsity and uneven density distribution of community trajectories present significant challenges in identifying community roads. To overcome these challenges, we propose a conditional generative adversarial network (MAC-GAN) supervised by pedestrian trajectories and neighborhood building footprints for road gener…
Toward Measuring the Level of Spatiotemporal Clustering of Multi-Categorical Geographic Events
Human activity events are often recorded with their geographic locations and temporal stamps, which form spatial patterns of the events during individual time periods. Temporal attributes of these events help us understand the evolution of spatial processes over time. A challenge that researchers still face is that existing methods tend to treat all events as the same when evaluating the spatiotemporal pattern of events that have different proper…
Capturing what human eyes perceive
Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach
Accessibility is a major method for evaluating the distribution of service facilities and identifying areas in shortage of service. Traditional accessibility methods, however, are largely model-based and do not consider the actual utilization of services, which may lead to results that are different from those obtained when people's actual behaviors are taken into account. Based on taxi GPS trajectory data, this paper proposed a novel integrated …
No prominent works on this page.
Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach
Accessibility is a major method for evaluating the distribution of service facilities and identifying areas in shortage of service. Traditional accessibility methods, however, are largely model-based and do not consider the actual utilization of services, which may lead to results that are different from those obtained when people's actual behaviors are taken into account. Based on taxi GPS trajectory data, this paper proposed a novel integrated …
Toward Measuring the Level of Spatiotemporal Clustering of Multi-Categorical Geographic Events
Human activity events are often recorded with their geographic locations and temporal stamps, which form spatial patterns of the events during individual time periods. Temporal attributes of these events help us understand the evolution of spatial processes over time. A challenge that researchers still face is that existing methods tend to treat all events as the same when evaluating the spatiotemporal pattern of events that have different proper…
Capturing what human eyes perceive
Mac-Gan
Community roads are crucial to community navigation. There are automatic methods to obtain community roads using trajectories, but the sparsity and uneven density distribution of community trajectories present significant challenges in identifying community roads. To overcome these challenges, we propose a conditional generative adversarial network (MAC-GAN) supervised by pedestrian trajectories and neighborhood building footprints for road gener…
Enhancing Place Emotion Analysis with Multi-View Emotion Recognition from Geo-Tagged Photos
User-generated geo-tagged photos (UGPs) have emerged as a valuable tool for analyzing large-scale tourist place emotions with unprecedented detail. This process involves extracting and analyzing human emotions associated with specific locations. However, previous studies have been limited to analyzing individual faces in the UGPs. This approach falls short of representing the contextual scene characteristics, such as environmental elements and ov…
Text Geolocation Prediction via Self-Supervised Learning
Text geolocation prediction aims to infer the geographic location of text with text semantics, serving as a fundamental task for various geographic applications. As the mainstream approach, the deep learning-based methods follow the supervised learning paradigms, which rely heavily on a large amount of labeled samples to train model parameters. To address this limitation, this paper presents a method for text geolocation prediction without labele…
Integrating Multiple Semantics of Street View Imagery for Semi-Supervised Building Function Identification
Building function identification plays a crucial role in providing basic data for urban planning, management, and various intelligent applications. Today, building function identification methods using Street View Images (SVIs) have made significant progress. However, these methods use the visual features of SVIs to infer building functions, which ignores the contributions of the multiple potential semantics of SVIs, resulting in suboptimal ident…
A Similarity Metric Method for Contour Line Groups Considering Terrain Features
Contour lines, as the primary elements of fundamental geospatial data, have long been a research focus for similarity measurement. With the evolution of cartographic generalization, the representation of contour lines across varying scales must maintain the consistency of specific information. Typically, the rationality of the generated results is assessed based on their similarity values. However, current measurements for measuring contour simil…
Deciphering the causes of getting lost in complex urban space
Computer Science (6 works) · Artificial Intelligence (5 works) · Geography (4 works) · Machine learning (3 works) · Automated Road and Building Extraction (2 works) · Business (2 works) · Data mining (2 works) · Engineering (2 works) · Land Use and Ecosystem Services (2 works) · Pedestrian (2 works)