A method for evaluating the signal-to-noise ratio of hyperspectral remote sensing instruments in orbit

Abstract

The invention provides an in-orbit signal-to-noise ratio evaluation method of a hyper spectral remote sensing instrument. The in-orbit signal-to-noise evaluation method comprises the following steps of S1, establishing a signal-to-noise ratio energy experimental model of each energy level of target hyper spectral remote sensing instrument through ground calibration test; S2, according to the in-orbit running stable target source observation data of the target hyper spectral remote sensing instrument, calculating the in-orbit stable target source signal-to-noise ratio of the target hyper spectral remote sensing instrument; S3, according to the in-orbit stable target source signal-to-noise ratio, utilizing the signal-to-noise ratio energy experimental model of each energy level to evaluate the change condition of the in-orbit signal-to-noise ratio of the target hyper spectral remote sensing instrument. The in-orbit signal-to-noise ratio evaluation method can effectively improve the stability and reliability of the hyper spectral remote sensing instrument in in-orbit signal-to-noise ratio evaluation.

Description

technical field [0001] The invention relates to the technical field of remote sensing calibration, and more particularly, to a method for evaluating the on-orbit signal-to-noise ratio of a hyperspectral remote sensing instrument. Background technique [0002] In the field of satellite hyperspectral greenhouse gas remote sensing, due to the low content of greenhouse gases, the instrument needs to have a very high signal-to-noise ratio index to detect small changes in greenhouse gases. [0003] The typical characteristics of modern satellite remote sensing instruments are, first, ultra-high spectral resolution, and second, extremely high signal-to-noise ratio in an extremely narrow spectral range. The carbon satellite successfully launched by my country carried out high-precision quantitative inversion of CO2 concentration through the observation spectra of weak CO2 absorption band (1.6 μm), strong CO2 absorption band (2.06 μm) and O2-A absorption band (0.76 μm). The frequency...

AI Technical Summary

Problems solved by technology

It is easy to meet this condition under laboratory measurement conditions, but it is difficult to find stable target objects under specified energy conditions after orbital operation.

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