Automatic adjusting method for imaging parameters of remote sensing camera

Abstract

The invention discloses an automatic adjusting method for imaging parameters of a remote sensing camera and relates to the technical field of imaging of remote sensing cameras. The method comprises the following steps: acquiring shooting time of shooting a target area and a geometric position of the target area, and determining solar altitude during shooting according to the geometric position andthe shooting time; based on a global ground surface coverage data set, determining the ground surface type contained in the target area according to the geometric position, and determining the groundreflectivity of the target area according to the ground surface type contained in the target area and a preset reflectivity model, wherein the reflectivity model comprises the ground reflectivity ofall ground surface types of the earth; and determining the imaging parameters according to the solar altitude and the ground reflectivity. The automatic adjusting method for the imaging parameters ofthe remote sensing camera provided by the invention achieves automatic adjustment of imaging parameters of the remote sensing camera.

Description

technical field [0001] The invention relates to the technical field of remote sensing camera imaging, in particular to an automatic adjustment method for remote sensing camera imaging parameters. Background technique [0002] With the development of aerospace technology, remote sensing cameras are increasing day by day. At present, many remote sensing cameras have set imaging parameters. By adjusting the imaging parameters, the remote sensing camera can image stably under different sunlight and ground conditions, and obtain clear images without getting too dark or too bright images. [0003] However, remote sensing cameras usually do not have the function of automatically adjusting imaging parameters, and mainly rely on manual setting of imaging parameters, which greatly limits their application in practical engineering. This is mainly because the optimization of remote sensing camera imaging parameters requires the reflectance information of ground objects. However, the ex...

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Problems solved by technology

[0004] 1) Atmospheric correction is performed on remote sensing images by using the atmospheric radiative transfer model, so as to invert the reflectance of ground objects from remote sensing images, such as 6S model, ATCOR2 model, etc. This type of method requires corresponding atmospheric parameters as input, which in many practical situations can not achieve;

[0005] 2) The image-based method determines the ground reflectance, which simplifies the atmospheric radiation transfer model and only considers the influence of atmospheric scattering on the image. However, in this type of method, the remote sensing image needs to meet certain assumptions before it can be used, and there are limitations in practical applications. not ideal

[0006] For these two types of methods, if the remote sensing camera shoots on a global scale, in order to obtain the global ground reflectance, these two types of methods need remote sensing images on a global scale, and there are difficulties in their engineering applications. Parameters cannot be adjusted automatically

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