Qiang Yu

Physics-constrained transfer learning with a spectral-fidelity-preserving model for satellite remote sensing applications

Abstract. Accurate spectral transformation across satellite sensors with similar but different spectral response functions (SRFs) are essential for applying the same retrieval algorithms. A novel physics-constrained transfer learning (TL) framework is developed for transferring s...