Atmospheric correction method for infrared channel of common-caliber high-rail remote sensing satellite

Abstract

The invention discloses an atmospheric correction method for an infrared channel of a common-caliber high-rail remote sensing satellite. The method comprises: step one, constructing an atmospheric vapor inversion model of a high-rail thermal-infrared split window and carrying out calculation to obtain an atmospheric column vapor content W of an image coverage area at a satellite imaging time; steptwo, according to atmospheric correction coefficients of all visible-near-infrared channels of a high-rail remote sensing satellite under different imaging conditions and atmospheric conditions, forming an atmospheric correction coefficient look-up table; step three, retrieving the atmospheric correction coefficient look-up table to obtain an atmospheric correction coefficient and calculating surface reflectances of all visible-near-infrared channels of the satellite to complete atmospheric correction of a visible-near-infrared band; step four, calculating atmospheric transmissivity values tau 11 and tau 12 of a thermal infrared absorption channel B11 and a transmission channel B12; and step five, completing surface temperature inversion by using an thermal infrared split window surface temperature inversion model, thereby obtaining a surface temperature. With the method disclosed by the invention, the satellite image quality as well as the remote sensing observation accuracy of the surface radiation amount and the reflection amount is improved.

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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