Shuaizhi Zhai
Biographic Data
| ID | 9965995 |
|---|---|
| NAME | Shuaizhi Zhai |
| GIVEN NAMES | Shuaizhi |
| FAMILY NAME | Zhai |
| SIGNATURE | ZHAI S |
| AFFILIATIONS | Shenyang Jianzhu University |
| ORCID | 0009-0000-3050-3432 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Urban Land Use Classification Model Fusing Multimodal Deep Features
Urban land use classification plays a significant role in urban studies and provides key guidance for urban development. However, existing methods predominantly rely on either raster structure deep features through convolutional neural networks (CNNs) or topological structure deep features through graph neural networks (GNNs), making it challenging to comprehensively capture the rich semantic information in remote sensing images. To address this …
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Urban Land Use Classification Model Fusing Multimodal Deep Features
Urban land use classification plays a significant role in urban studies and provides key guidance for urban development. However, existing methods predominantly rely on either raster structure deep features through convolutional neural networks (CNNs) or topological structure deep features through graph neural networks (GNNs), making it challenging to comprehensively capture the rich semantic information in remote sensing images. To address this …
Artificial Intelligence (1 work) · Computer Science (1 work) · Geographic Information Systems Studies (1 work) · Geography (1 work) · Human Mobility and Location-Based Analysis (1 work) · Remote-Sensing Image Classification (1 work)