Zhanwu Zhuang
Biographic Data
| ID | 9964731 |
|---|---|
| NAME | Zhanwu Zhuang |
| GIVEN NAMES | Zhanwu |
| FAMILY NAME | Zhuang |
| SIGNATURE | ZHUANG Z |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0009-0000-2579-6322 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
ABHNet
Building height is a key indicator of vertical urbanization and urban morphological complexity, yet accurately mapping building height at fine spatial resolution and large spatial scales remains challenging. This study proposes an attention-based deep learning framework (ABHNet) for building height estimation at a 10 m spatial resolution by integrating multi-source remote sensing data and socioeconomic information. The model jointly exploits Sent…
No prominent works on this page.
ABHNet
Building height is a key indicator of vertical urbanization and urban morphological complexity, yet accurately mapping building height at fine spatial resolution and large spatial scales remains challenging. This study proposes an attention-based deep learning framework (ABHNet) for building height estimation at a 10 m spatial resolution by integrating multi-source remote sensing data and socioeconomic information. The model jointly exploits Sent…
Convolutional neural network (1 work) · Deep learning (1 work) · Estimation (1 work) · Image resolution (1 work) · Mean squared error (1 work) · Megacity (1 work) · Multispectral image (1 work) · Remote Sensing and LiDAR Applications (1 work) · Remote-Sensing Image Classification (1 work) · Synthetic aperture radar (1 work)