A Method of Atmospheric Correction for Infrared Channels of Common Aperture High Orbit Remote Sensing Satellites

Abstract

The invention discloses an atmospheric correction method for the infrared channel of a common-aperture high-orbit remote sensing satellite: (1), constructing a high-orbit thermal infrared split window atmospheric water vapor inversion model, and calculating and obtaining the atmospheric column water vapor content W of the image coverage area at the time of satellite imaging; (2), according to the atmospheric correction coefficients of the visible-near-infrared channels of high-orbit remote sensing satellites under different imaging conditions and atmospheric conditions, form an atmospheric correction coefficient lookup table; (3), retrieve the atmospheric correction coefficient lookup table, and obtain the atmospheric correction coefficient , and calculate the satellite visible-near-infrared channel surface reflectance accordingly, and complete the atmospheric correction in the visible-near-infrared band; (4), calculate the thermal infrared absorption channel B 11 and through channel B 12 Atmospheric transmittance τ 11 and τ 12 (5) Using the thermal infrared split window surface temperature inversion model to complete the inversion of the surface temperature and obtain the surface temperature. This method can improve the quality of satellite images and the accuracy of remote sensing observation of surface radiation and reflection.

Description

technical field [0001] The invention relates to an atmospheric correction method for an infrared channel of a common-aperture high-orbit remote sensing satellite, which is used for improving image quality and belongs to the technical field of remote sensing image processing. Background technique [0002] When high-orbit satellites image the earth, in addition to the visible spectrum, there are also medium / long-wave infrared spectrums to observe ground targets at the same time. Since the three channels share the front-end optical system, the same area can be imaged simultaneously, so the images of the three channels have high time, space and spectral correlation. Through radiometric inversion of the infrared spectrum images of the medium-wave infrared and long-wave infrared channels, the data related to the atmospheric influence at the imaging moment can be analyzed, thus providing an analysis basis for the visible light channel to eliminate the atmospheric influence and impr...

AI Technical Summary

Problems solved by technology

Because water vapor changes frequently in space and time, it brings great difficulties to real-time atmospheric correction

The existing technology fails to effectively use the thermal infrared split window image to perform real-time atmospheric correction on the near-infrared and thermal infrared data of the common-aperture high-orbit remote sensing satellites, which is not conducive to the development of commercial applications of the common-aperture high-orbit remote sensing images

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