Attitude and Orbit Refinement Method of Domestic Land Observation Satellite Based on Cloud Control

Abstract

The invention discloses a method for refining the attitude and orbit of a domestic land observation satellite based on cloud control. The method is based on a reference base map composed of an existing digital orthophoto image and a digital surface model or a digital elevation model, and performs 1A-level standard scene image and Automatically measure the control points between the reference base maps, obtain the control point data, logically stitch the 1A-level images through the sub-view information of the standard scene, restore the original strip image information, combine the travel time, GPS track, Attitude and other data, perform strip adjustment based on the original attitude and orbit, and calculate accurate attitude parameters. At the same time, the distribution law of the residual error of the image point is analyzed, and the inner azimuth geometric calibration of the CCD line array of the satellite is carried out according to the residual error law. Finally, according to the calibrated internal orientation elements and the calculated precise orbit and attitude (ie, the external orientation elements), the rational polynomial parameter RPC of the standard scene 1A image is re-fitted.

Description

technical field [0001] The present invention relates to a method for refining the attitude and orbit of domestic land observation satellites based on generalized "cloud control" information, in which the key points of the method are fully automatic matching control points based on the reference base map and satellite image strip adjustment based on the attitude and orbit technology. Background technique [0002] With the continuous launch of domestic satellites such as the Gaofen series (such as Gaofen-1, Gaofen-2, Gaofen-6, etc.) Accumulation provides a large number of satellite images for related scientific research and practical engineering applications. The demand for large-scale mapping puts forward higher and higher requirements for the geometric positioning accuracy of satellite images. Therefore, using generalized multi-source ground control information as a geometric reference, through geometric calibration and geometric orientation, the direct ground-to-ground acc...

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Problems solved by technology

[0004] The invention mainly solves the problem that the geometric positioning accuracy is not high enough in the existing satellite image ground processing system

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