An atmospheric correction iterative method for very high resolution aerospace imaging spectrometers

Alessandro Barducci; Donatella Guzzi; Paolo Marcoionni; Ivan Pippi

doi:10.1117/12.739278

17 October 2007 An atmospheric correction iterative method for very high resolution aerospace imaging spectrometers

Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, Ivan Pippi

Proceedings Volume 6745, Remote Sensing of Clouds and the Atmosphere XII; 674517 (2007) https://doi.org/10.1117/12.739278
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

Increasing the radiometric accuracy and spectral resolution of aerospace optical imagers for Earth observation may allow enhanced results many remote sensing applications. This demand for accurate radiometric calibration and requests that atmospheric effects are carefully accounted for. Obtaining surface reflectance maps from the at-sensor radiance images requires improved atmospheric correction procedures. Based on the availability of data acquired at so high spectral resolution to allow the detection of different spectral features of some atmospheric constituents, an iterative estimation algorithm has been developed.. The default atmospheric profiles available in MODTRAN 4 have been firstly refined through at-ground level measurements of some parameters, like temperature, pressure, humidity. The algorithm uses the results of MODTRAN 4 simulations to calculate the apparent reflectance of several image pixels for various abundances of atmospheric constituents. The retrieved reflectance spectra are analysed in order to detect the presence of residual atmospheric absorption features, the amplitude of which is adopted as a score of sub-optimal atmospheric correction. A numerical minimization algorithm then finds the optima atmospheric parameters for the processed scene. Five parameters are estimated using this inversion procedure: visibility, H₂O vapour, CO₂, CO, and O₃. To test and validate the method some images acquired by the new airborne sensor HYPER / SIM-GA on 15^th December 2005 during a coastal zone remote sensing campaign have been utilized. Synthetic dataset simulating the above sensor have been employed too. First results are presented and discussed taking into account the feasibility of avoiding in-field measurements.

Citation Download Citation

Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, and Ivan Pippi "An atmospheric correction iterative method for very high resolution aerospace imaging spectrometers", Proc. SPIE 6745, Remote Sensing of Clouds and the Atmosphere XII, 674517 (17 October 2007); https://doi.org/10.1117/12.739278

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