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Data preprocessing method for spaceborne atmospheric probing Fourier transform spectrometer

A technology of Fourier transform and data preprocessing, which is applied in the fields of interference spectroscopy and spectrum investigation to achieve the effects of improving spectral radiation accuracy, reducing correlation noise, and high spectral radiation accuracy

Active Publication Date: 2015-06-24
CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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Problems solved by technology

[0004] China plans to launch the first domestic Fourier Transform instrument for atmospheric detection in the past two years. So far, there is no technical method for data preprocessing of the Fourier Transform instrument for atmospheric detection in available literature.

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  • Data preprocessing method for spaceborne atmospheric probing Fourier transform spectrometer
  • Data preprocessing method for spaceborne atmospheric probing Fourier transform spectrometer
  • Data preprocessing method for spaceborne atmospheric probing Fourier transform spectrometer

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[0027] Below in conjunction with accompanying drawing, the present invention is described in detail, as figure 1 Shown, the processing algorithm step of the present invention is as follows:

[0028] (1) Data preparation: decode and format the downlink 0-level data of the satellite into 1A-level interference data.

[0029] (2) Occasional error handling: In order to remove peak data, a sliding window of 512 data points is used to count the characteristics of the mean and standard deviation of the local interferogram. Then, spike data points with a standard deviation exceeding 4 were removed, and the values ​​of the data points were replaced by bilinear interpolation of adjacent values.

[0030] (3) Dual ADC reconstruction: Since digital converters (ADCs) for the dynamic range of space applications are difficult to purchase, dual ADCs are used to increase the dynamic range. Use two 12-bit ADCs to simulate an 18-bit ADC. One ADC uses no amplifier and the other ADC uses a 64x am...

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Abstract

The invention discloses a data preprocessing method for a spaceborne atmospheric probing Fourier transform spectrometer. According to the data processing process, level 0 data downloaded by a satellite are decoded to obtain level 1A interference data, the 1A interference data are subjected to accidental error processing, data point saturation processing, non-linear correction, spectrum reconstruction, interference fringe miscount processing, spectral calibration and instrument linetype correction and double modulation correction, and then spectrometer data can be obtained. The method breaks through the limitation that the spaceborne atmospheric probing Fourier transform spectrometer is narrow in dynamic range, improves hyperspectral radiation accuracy, adapts fast Fourier transform (FFTW) aiming at the spaceborne atmospheric probing Fourier transform spectrometer, reduces related noise and increases selections of spectral resolutions.

Description

technical field [0001] The invention relates to a data preprocessing method of a spaceborne atmospheric detection Fourier transform spectrometer, in particular to a data processing method of an atmospheric environment infrared very hyperspectral detector. Background technique [0002] As an important means of space remote sensing, Fourier transform spectroscopy has great advantages. It can be said that high-precision space infrared remote sensing started from the space-borne Fourier transform spectrometer for atmospheric detection. The advantages of Fourier spectral measurement can be summed up in three main points: wide spectrum, high precision and fast measurement. Among them, the wide spectral range and high precision are incomparable to other remote sensing instruments such as filter type and grating spectroscopic type. To obtain high-resolution spectral data over a wide spectral range, Fourier transform spectrometer is the best choice. The principle of Fourier transf...

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Application Information

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IPC IPC(8): G01J3/45
Inventor 王海燕孙伟健郝雪涛闵祥军王峰齐怀川康倩
Owner CHINA CENT FOR RESOURCES SATELLITE DATA & APPL
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