High-resolution remote sensing data atmospheric correction method

Abstract

The invention discloses a high-resolution remote sensing data atmospheric correction method comprising the following steps of: S1, obtaining related information from data element information; S2, calculating the apparent reflectance of the typical land surface; S3, obtaining a mask of the typical land surface; S4, building an AOD (Aerosol Optical Depth) inversion correction lookup table by utilizing an atmospheric radiation transmission model; S5, calculating the AOD of the typical land surface; S6, obtaining a land surface classification chart; S7, forming the AOD of an whole image through a spatial expansion method; and S8, executing atmospheric correction on the high-resolution remote sensing data according to the AOD of the whole image and the atmospheric correction lookup table to get the land surface reflectance of the high-resolution remote sensing data. In the method, the high-resolution satellite remote sensing data is used for obtaining the AOD of the whole image, the accuracy and usability of the atmospheric correction are improved, and automation of the whole flow from AOD to atmospheric correction is realized.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to an atmospheric correction method for high-resolution remote sensing data. Background technique [0002] The aerosol in the atmosphere is an intermediary substance between the ground and satellite sensors, which inevitably affects the data obtained by satellite remote sensing. As the aerosol increases, the quality of the obtained image will be greatly affected. In order to make full use of the surface information obtained by satellite remote sensing, we need to correct the information caused by the atmosphere in the image. Since the 1970s, scientists have carried out a lot of research on atmospheric correction of remote sensing data. At present, the atmospheric correction of remote sensing data is mainly divided into two categories: the atmospheric correction method based on the statistical information of the remote sensing image itself and the atmospheric correction metho...

AI Technical Summary

Problems solved by technology

[0005] Disadvantage 1, the aerosol optical thickness of the entire image cannot be obtained;

[0006] Disadvantage 2. Some methods require images from multiple periods in the same area, and have higher requirements for data;

[0007] Disadvantage 3: The degree of automation is poor and manual intervention is often required

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