Hongran Ma
Biographic Data
| ID | 9967778 |
|---|---|
| NAME | Hongran Ma |
| GIVEN NAMES | Hongran |
| FAMILY NAME | Ma |
| SIGNATURE | MA H |
| AFFILIATIONS | Wuhan University |
| ORCID | 0009-0006-4717-4050 |
| 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 |
A Convolutional Autoencoder-Based Method for Vector Curve Data Compression
(1) Background: Curve data compression plays a critical role in efficient storage, transmission, and multi-scale visualization of vector spatial data, especially for complex geographic boundaries. Achieving high compression efficiency while preserving geometric fidelity remains a challenging task. (2) Methods: This study proposes a vector curve compression framework based on a convolutional autoencoder. Curve data are segmented and resampled to u…
No prominent works on this page.
A Convolutional Autoencoder-Based Method for Vector Curve Data Compression
(1) Background: Curve data compression plays a critical role in efficient storage, transmission, and multi-scale visualization of vector spatial data, especially for complex geographic boundaries. Achieving high compression efficiency while preserving geometric fidelity remains a challenging task. (2) Methods: This study proposes a vector curve compression framework based on a convolutional autoencoder. Curve data are segmented and resampled to u…
Advanced Data Compression Techniques (1 work) · Compression ratio (1 work) · Computer Graphics and Visualization Techniques (1 work) · Data compression (1 work) · Data Management and Algorithms (1 work) · Spatial analysis (1 work)