openalexFigshare2026-07-24
Artefact and risk area detection of the tanDEM-X 30m edited DEM using an integrated machine learning and dem-of-difference framework: a case study in the Alps
Peijun Dong, Xingang Zhang, Yunfei Zhang, R Yang (6699815), Zeyu Hao
The TanDEM-X 30m Edited Digital Elevation Model (TDX30) is widely used but impaired by complex artefacts from InSAR processing. We propose a multi-strategy detection framework that classifies TDX30 pixels into four categories (Normal Terrain, Minor Artefacts, Severe Artefacts, an…