Atmospheric compensation method suitable for thermal infrared remote sensing image

Abstract

The invention provides an atmospheric compensation method suitable for a thermal infrared remote sensing image, and the method comprises the following steps: obtaining observation image data and matched atmospheric profile and surface emissivity spectral information, carrying out the quality control and information extraction, and carrying out the information fusion; selecting a proper sliding window length and a proper sliding step length, and extracting corresponding atmospheric profile information window by window; calculating atmospheric parameter information of each window position by using an atmospheric radiation transmission model, and calculating a fine atmospheric parameter matrix in each window by using a linear or nonlinear interpolation method; and calculating the cost function of the window function value, calculating the function value of the window function value window by window / pixel by using the cost function, returning each corresponding atmospheric parameter, and completing an atmospheric correction process. The method does not depend on any empirical relation and special pixels and is suitable for various common earth surfaces and atmospheric environments andcan achieve the synchronous compensation of the atmospheric temperature profile and the humidity profile and is higher in universality and practical value.

Description

technical field [0001] The invention relates to the field of thermal infrared remote sensing, in particular to an atmospheric compensation method suitable for thermal infrared remote sensing images. Background technique [0002] In the field of thermal infrared remote sensing, the radiation information observed by any satellite sensor is the result of the comprehensive effect of the atmosphere and the surface. To put it simply, in the thermal infrared band, the radiant energy observed by the satellite mainly includes the emitted radiation of the atmosphere, and the part of the surface radiation that reaches the sensor after being scattered and absorbed by the atmosphere. Obviously, if you want to realize the key surface parameters from satellite observation images The inversion of , such as land surface temperature (LST) and emissivity, must consider how to eliminate the influence of these atmospheric effects, and this process is also called atmospheric correction or atmosph...

AI Technical Summary

Problems solved by technology

For example, the image-based ISAC and AAC methods require a certain number of special pixels, and they do not directly provide complete atmospheric parameters, so their related applications are very limited; and the water vapor scaling method (WVS) is currently a more reliable atmospheric Although the correction method can improve the accuracy of atmospheric parameters to a certain extent, the method also needs to find a certain number of special pixels in the image and use them to calculate the approximate estimate of the ground radiation

In addition, related studies have also pointed out that the accuracy of the WVS method will decline to a certain extent under high water vapor conditions.

More importantly, the WVS algorithm does not consider the error effect of the atmospheric temperature profile, but only adjusts for the scale change of the water vapor content

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