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Atmospheric nitrogen dioxide column concentration inversion strip noise self-adaptive window correction method

An adaptive window and nitrogen dioxide technology, which is applied in the field of satellite remote sensing, can solve problems such as the inability to remove the band noise of the load data of the atmospheric environment detector, and achieve the effect of adaptive window correction and accurate inversion accuracy

Active Publication Date: 2020-07-17
北京中科锐景科技有限公司
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0003] The present invention provides an adaptive window correction method for atmospheric nitrogen dioxide column concentration inversion strip noise, which solves the problem that the existing method cannot remove the load data strip of the atmospheric environment detector problem with noise

Method used

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  • Atmospheric nitrogen dioxide column concentration inversion strip noise self-adaptive window correction method

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no. 1 Embodiment

[0033] figure 1 It is an embodiment of the process flow of a strip noise adaptive window correction method, which is suitable for the load of the Gaofen-5 satellite atmospheric environment detector. As an embodiment of the present invention, a strip noise adaptive window correction method specifically includes the following steps:

[0034] Step 101, obtain atmospheric environment detector data, extract hyperspectral data of band 3 after data preprocessing, and perform nitrogen dioxide column concentration inversion to obtain nitrogen dioxide oblique column concentration spatial distribution data.

[0035] In step 101, the atmospheric environment detector data is obtained from Gaofen-5 satellite.

[0036]Specifically, the data of the Gaofen-5 satellite load is obtained, and data preprocessing is carried out for the data of the atmospheric environment detection load of the atmospheric environment detector, including: radiation correction and geometric correction of the data.

...

no. 2 Embodiment

[0090] figure 2 It is an embodiment of the process flow of a strip noise adaptive window correction method including multiple corrections, which can obtain the best strip noise processing effect through multiple corrections. As an embodiment of the present invention, a strip noise adaptive window correction method , including the following steps:

[0091] Step 201, obtain atmospheric environment detector data, extract hyperspectral data of band 3 after data preprocessing, and perform nitrogen dioxide column concentration inversion to obtain nitrogen dioxide oblique column concentration spatial distribution data.

[0092] Step 201 is the same as step 101.

[0093] Step 202, determine the correction window from all the fixed column width rectangular windows of the nitrogen dioxide oblique column concentration spatial distribution data, and the correction window is the smallest sum of the variance values ​​of each column along the track direction among all the rectangular windo...

no. 3 Embodiment

[0109] Fig. 3 (a) is the nitrogen dioxide spectral line of standard absorption cross-section spectral line embodiment, Fig. 3 (b) is the ozone spectral line of standard absorption cross-sectional spectral line embodiment, Fig. 3 (c) is the implementation of standard absorption cross-sectional spectral line Figure 3(d) is the water vapor spectrum of the example of the standard absorption cross-section spectrum.

[0110] Embodiments of the present invention provide a method for removing ozone, oxygen and water vapor, specifically:

[0111] According to the spectral lines of the standard absorption cross sections of gases such as nitrogen dioxide, ozone, oxygen tetra and water vapor, the concentration of nitrogen dioxide is separated from the concentration of the absorption gas column; then the processing results are displayed, and a track of concentration of nitrogen dioxide oblique column appears The result of the spatial distribution.

[0112] Figure 3(a) describes the NO 2 ...

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Abstract

The invention discloses atmospheric nitrogen dioxide column concentration inversion strip noise self-adaptive window correction, and solves the problem that an existing method cannot remove atmospheric environment detector load data strip noise. The method comprises the following steps: acquiring atmospheric environment detector data, preprocessing the data, extracting hyperspectral data of a waveband 3, and performing nitrogen dioxide column concentration inversion to obtain nitrogen dioxide slant column concentration spatial distribution data; determining a correction window from all fixed column width rectangular windows of the nitrogen dioxide slant column concentration spatial distribution data, wherein the correction window is a rectangular window with the minimum sum of all column variance values in all the rectangular windows; calculating the mean value of each column of data in the correction window to obtain a column mean vector, and removing at least one low-frequency signalvalue from the column mean vector to obtain a column threshold vector; subtracting the column threshold vector from each column of data in the cross-rail direction of the nitrogen dioxide slant column concentration spatial distribution data according to columns to obtain a correction result. According to the method, the strip noise of the atmospheric environment detector data of the Gaofen-5 satellite is removed.

Description

technical field [0001] The invention relates to the field of satellite remote sensing, in particular to an adaptive window correction method for strip noise inversion of atmospheric nitrogen dioxide column concentration. Background technique [0002] During the imaging process of satellite remote sensing images, due to the problems of photoelectric devices, periodic and directional noises are distributed in stripes. The atmospheric environment detector (EMI, Atmospheric trace gases retrieved from Environmental Measurement Instrument) data have obvious band noise. The existing strip noise removal method is mainly used in the sulfur dioxide strip noise processing of the OMI payload carried on the US satellite, and the window size selected in the existing method to remove the strip noise is a fixed value, which is not suitable for my country's Gaofen-5 Nitrogen dioxide strip noise processing of the satellite-borne atmospheric environment detector payload. Contents of the inve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/31G01N21/27
CPCG01N21/3103G01N21/274
Inventor 陈博夏石明柴向停
Owner 北京中科锐景科技有限公司
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