A Method for Spectral Drift Estimation of Satellite Shortwave Infrared Hyperspectral Observation Data

Abstract

The invention belongs to the technical field of atmospheric remote sensing, and discloses a method for estimating the spectral drift of satellite short-wave infrared hyperspectral observation data, which shifts and stretches the high-resolution reference solar spectrum according to specific spectral intervals; function, convolving multiple sets of shifted and stretched high-resolution solar spectra to generate a reference spectral database; calculating the correlation coefficient between the actual observed spectrum and each set of reference spectra generated in advance; the reference solar spectrum with the largest correlation coefficient corresponds to The amount of spectral drift and stretching is the amount of drift and stretching of the actual observed spectrum, and finally realizes the estimation of spectral drift. By adopting the method of the invention, the purpose of fast and accurate spectral drift correction of satellite short-wave infrared hyperspectral observation data can be realized.

Description

technical field [0001] The invention belongs to the technical field of atmospheric remote sensing, and in particular relates to a method for estimating spectral drift of satellite short-wave infrared hyperspectral observation data. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: When spaceborne spectrometers acquire surface and atmospheric information, their spectral frequencies will drift due to factors such as temperature, environment, and relative motion, especially for spectroscopic instruments with high spectral resolution. Therefore, it is necessary to correct the spectral drift in the actual application of the data, otherwise the drift will introduce large errors to the inversion of geophysical parameters. At present, the correction method of spectral drift is mainly to use known spectral lines as references for correction, such as the solar Fraunhofer line, or to invert the spectral offset synchronous...

AI Technical Summary

Problems solved by technology

The method will bring a certain error to the offset calculation due to the selection of fewer channels, and it cannot be applied to nonlinear stretch correction

The method of synchronous inversion of spectral drift is easily affected by the initial value of spectral drift. In addition, it takes a lot of time during the inversion process, which is not conducive to rapid spectral correction.

[0003] In summary, the problems in the prior art are: The current correction method of spectral drift cannot be applied to nonlinear stretching correction due to the fact that fewer channels are selected, which will bring certain errors to the calculation of offset; the method of synchronous inversion of spectral drift is easily affected by the initial value of spectral drift, and requires It takes a lot of time, which is not conducive to the rapid correction of the spectrum

In contrast, the spectral correction method based on the solar Fraunhofer line is faster, but its correction accuracy is low and it cannot correct nonlinear drift. It is urgent to develop a fast and accurate shortwave infrared hyperspectral spectral drift correction method

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