Loading...
Loading...
Available on 1 platform
Sign in to view source links and access this dataset
TG-GAN is a deep learning model for multi-rate Digital Elevation Model generalization, constrained by terrain morphological factors. The model was developed by 岩晨 万 and last updated on 2026-05-27. Experiments were conducted in mountainous regions of Chongqing, China, Alaska, and Colorado with downscaling factors from 2× to 5×.
Data is provided in a ZIP file format; specific internal file structures are not detailed.