Chaoyang Fang
Biographic Data
| ID | 6304043 |
|---|---|
| NAME | Chaoyang Fang |
| GIVEN NAMES | Chaoyang |
| FAMILY NAME | Fang |
| SIGNATURE | FANG C |
| AFFILIATIONS | Jiangxi Normal University |
| ORCID | 0000-0002-6695-7169 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 12 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Study on Multiscale Virtual Environment Construction and Spatial Navigation Based on Hierarchical Structure
Multiscale virtual environments (MSVEs) allow the integration of elements and environments at different scale levels into a unified space, which facilitates researchers’ perception, understanding, and experimental research of complex geospatial spaces. Although there have been several methods for achieving multiscale effects in virtual environments (VEs), they cannot assist users in constructing more complete spatial cognitive maps and presenting…
Virtual Scene Construction of Wetlands
Due to the complexity of wetland ecosystems, wetlands have a wide area of alternating land and water zones and complex vegetation composition, making it challenging to achieve dynamic displays of virtual wetland scenes using three-dimensional modeling. This study proposes a workflow of game engine-based virtual wetland scene construction for the rapid modeling of virtual wetland scenes. The virtual wetland scene construction work utilized Poyang …
A framework for quantitative analysis and differentiated marketing of tourism destination image based on visual content of photos
Characterizing Tourism Destination Image Using Photos’ Visual Content
“A picture is worth a thousand words”. Analysis of the visual content of tourist photos is an effective way to explore the image of tourist destinations. With the development of computer deep learning and big data mining technology, identifying the content of massive numbers of tourist photos by convolutional neural network (CNN) approaches breaks through the limitations of manual approaches of identifying photos’ visual information, e.g., small …
Characterizing Tourism Destination Image Using Photos’ Visual Content
“A picture is worth a thousand words”. Analysis of the visual content of tourist photos is an effective way to explore the image of tourist destinations. With the development of computer deep learning and big data mining technology, identifying the content of massive numbers of tourist photos by convolutional neural network (CNN) approaches breaks through the limitations of manual approaches of identifying photos’ visual information, e.g., small …
A framework for quantitative analysis and differentiated marketing of tourism destination image based on visual content of photos
Virtual Scene Construction of Wetlands
Due to the complexity of wetland ecosystems, wetlands have a wide area of alternating land and water zones and complex vegetation composition, making it challenging to achieve dynamic displays of virtual wetland scenes using three-dimensional modeling. This study proposes a workflow of game engine-based virtual wetland scene construction for the rapid modeling of virtual wetland scenes. The virtual wetland scene construction work utilized Poyang …
Study on Multiscale Virtual Environment Construction and Spatial Navigation Based on Hierarchical Structure
Multiscale virtual environments (MSVEs) allow the integration of elements and environments at different scale levels into a unified space, which facilitates researchers’ perception, understanding, and experimental research of complex geospatial spaces. Although there have been several methods for achieving multiscale effects in virtual environments (VEs), they cannot assist users in constructing more complete spatial cognitive maps and presenting…
Computer Science (4 works) · Artificial Intelligence (2 works) · Culinary Culture and Tourism (2 works) · Destination Image (2 works) · Destinations (2 works) · Diverse Aspects of Tourism Research (2 works) · Geography (2 works) · Tourism (2 works) · 3D Modeling in Geospatial Applications (1 work) · Advertising (1 work)