Remote sensing image terrain standardization method

Abstract

The invention discloses a remote sensing image terrain standardization method. In a Ross Thick-Li Sparse linear kernel driver model, slope and orientation are introduced into a Ross volume scattering kernel function and a Li geometrical optical kernel function to establish a mountain BRDF (Bidirectional Reflectance Distribution Function) model; on the basis of a conventional remote sensing image terrain standardization result, an assumption of the earth surface about a Lambertian reflectance characteristic is changed, and the mountain BRDF model is introduced to maximally reduce the influence of a change in the BRDF shape of a complicated topographical region; atmospheric parameters at the border crossing moment of a satellite image are obtained by taking MODIS (Moderate Resolution Imaging Spectroradiometer) water vapor and aerosol atmosphere products as terrain standardization model parameters, so that the influence of optical factors of the atmosphere is eliminated. According to the method, radiometric distortion of a remote sensing image caused by optical properties of the atmosphere is eliminated, and in addition, radiometric distortion caused by factors such as terrain shielding and BRDF properties of the earth surface is effectively eliminated, so that the real reflectivity of the earth surface is obtained.

Description

technical field [0001] The invention belongs to the technical field of remote sensing and relates to a method for standardizing remote sensing image topography. Background technique [0002] Surface albedo is an important factor affecting surface short-wave net radiation, and high-resolution remote sensing images have become an important data source for albedo (Albedo) inversion. However, remote sensing observations are not only affected by atmospheric optical factors such as water vapor and aerosols, but also by terrain factors such as slope, aspect, terrain shading, sky visibility factors, and surface bidirectional reflectance fraction function (BRDF) or sun-surface- The influence of the geometric relationship of the sensor cannot truly reflect the surface conditions. Therefore, terrain standardization of remote sensing images has become a necessary preprocessing method for accurate inversion of surface Albedo. It is used to simultaneously eliminate or reduce atmospheric ...

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Problems solved by technology

However, remote sensing observations are not only affected by atmospheric optical factors such as water vapor and aerosols, but also by terrain factors such as slope, aspect, terrain shading, sky visibility factors, and surface bidirectional reflectance fraction function (BRDF) or sun-surface- Influenced by the geometric relationship of the sensor, it cannot truly reflect the surface conditions

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