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cs.CV2025
Very High-Resolution Forest Mapping with TanDEM-X InSAR Data and Self-Supervised Learning
José-Luis Bueso-Bello, Benjamin Chauvel, Daniel Carcereri +8
Deep learning models have shown encouraging capabilities for mapping accurately forests at medium resolution with TanDEM-X interferometric SAR data. Such models, as most of current…
cs.AI2025★ 1 cited
Hybrid AI-Physical Modeling for Penetration Bias Correction in X-band InSAR DEMs: A Greenland Case Study
Islam Mansour, Georg Fischer, Ronny Haensch +1
Digital elevation models derived from Interferometric Synthetic Aperture Radar (InSAR) data over glacial and snow-covered regions often exhibit systematic elevation errors, commonl…