Estimation of Instrument Spectral Response Functions in Presence of Radiometric Errors - Computational Imaging and Vision
Conference Papers Year : 2024

Estimation of Instrument Spectral Response Functions in Presence of Radiometric Errors

Abstract

High resolution spectrometers, such as the CNES/UKSA MicroCarb instrument, are widely used in remote sensing applications to retrieve atmospheric trace gas concentrations. Potential radiometric errors or errors in the approximation of the Instrument Spectral Response Function (ISRF) can induce significant errors in the determination of these gas concentrations. This paper presents a new strategy for the joint estimation of a spectrometer ISRF and the potential radiometric errors affecting the spectrometer measurements. These radiometric errors are modeled as polynomial functions of the error-free spectrum. An iterative algorithm is then proposed to estimate the coefficients of these polynomials and the spectrometer ISRFs. This algorithm alternates between ISRF estimation steps using the orthogonal matching pursuit algorithm and a radiometric error estimation step using the least squares method.
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Dates and versions

hal-04699714 , version 1 (17-09-2024)

Identifiers

  • HAL Id : hal-04699714 , version 1

Cite

Jihanne El Haouari, Jean-Yves Tourneret, Herwig Wendt, Jean-Michel Gaucel, Christelle Pittet-Mechin. Estimation of Instrument Spectral Response Functions in Presence of Radiometric Errors. 32th European Signal Processing Conference (EUSIPCO 2024), Aug 2024, Lyon, France. pp.2677--2681. ⟨hal-04699714⟩
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