RPC model parameter extraction method and geometric correction method

Abstract

The invention belongs to the field of remote sensing image and particularly relates to a RPC model parameter extraction method and a RPC model geometric correction method. The technique scheme of the invention simulates elevation change to a random field and constructs Kriging equations according to the observed values of a plurality of random variables based on stationary random field theory, thus obtaining the optimal bias-free interpolation of unobserved points. The RPC model parameter extraction method provided by the invention can acquire high-accuracy PRC model parameters based on a stationary random field model to ensure the RPC geometric correction accuracy. The RPC model geometric correction method provided by the invention can ensure the accuracy of the final geometric correction result by carrying out crude correction based on a common RPC model and carrying out fine correction based on the stationary random field model. By adopting the stationary random field model to assist the RPC geometric correction, both the two methods can improve the robustness and the accuracy of geometric correction of the universal sensor for remote sensing image even if the assistant means are different.

Description

technical field [0001] The invention belongs to the field of remote sensing images, in particular to an RPC model parameter extraction method and an RPC model geometric correction method. Background technique [0002] As mankind enters the space age and gradually enters the information age, various remote sensing platforms operating in space continue to observe our earth in different ways and at different scales, and continuously provide information that cannot be obtained on the earth's surface. information, so that the human vision has been extended to the largest scale. To extract information from satellite remote sensing images, it is necessary to project the remote sensing images in a fixed reference system and correct the geometric deformation of the original image (usually called image geometric correction), so as to carry out geometric measurement and interaction of image information. Comparative and Composite Analysis. Errors generated at this stage will affect a ...

AI Technical Summary

Problems solved by technology

Since the terrain elevation actually changes randomly, although the existing RPC model takes into account the influence of elevation, areas with large terrain fluctuations still cannot meet the needs of large-scale mapping, and the correction accuracy is greatly affected by the elevation accuracy.

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