The optimal planning methods of remote sensing experiment in IR-range for the satellite meteorology problems

Nikolay V. Uvarov; Anton A. Sokolov

doi:10.1117/12.2306733

24 May 2018 The optimal planning methods of remote sensing experiment in IR-range for the satellite meteorology problems

Nikolay V. Uvarov, Anton A. Sokolov

Author Affiliations +

Proceedings Volume 10679, Optics, Photonics, and Digital Technologies for Imaging Applications V; 106791P (2018) https://doi.org/10.1117/12.2306733
Event: SPIE Photonics Europe, 2018, Strasbourg, France

Abstract

The number of narrow-band spectral channels that are used in satellite instruments has been increasing to hundreds and even thousands, due to recent developments in satellite meteorology. They measure radiation in wide ranges: from ultra-violet to distant infra-red. The comparison of various approaches for selection of the most informative channels represents a certain scientific and practical interest. In our work the techniques of the optimal choice are considered for spectral channels with the fixed and variable widths. Practically, all known methods of the inverse problems solution use the certain a-priori information on required parameters. The following methods of the optimal planning were used for a remote sensing satellites experiments: DRM(analysis of Data resolution Matrix), Weighted functions (Jacobians analyzing), Iterations (selection of the satellite channels is defined by Entropy Reduction), combined channel technique (spectral channel with variable width - based on maximization of the determinant of Fishers information matrix). The methods of the best linear estimation and variational technique were used to solve the inverse problem. The proposed technique was used for remote sensing of the atmosphere (temperature and humidity profiles) and surface parameters (sea surface temperature).

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Nikolay V. Uvarov and Anton A. Sokolov "The optimal planning methods of remote sensing experiment in IR-range for the satellite meteorology problems", Proc. SPIE 10679, Optics, Photonics, and Digital Technologies for Imaging Applications V, 106791P (24 May 2018); https://doi.org/10.1117/12.2306733

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