In-Flight Estimation of Instrument Spectral Response Functions Using Sparse Representations for Remote Sensing Missions

A new sparse representation-based method for accurate in-flight estimation of Instrument Spectral Response Functions (ISRFs) is proposed and evaluated on datasets from various remote sensing spectrometers. The method outperforms state-of-the-art parametric models in terms of ISRF estimation accuracy.