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RPC parameter parametric optimization method based on multi-collinearity analysis

A complex collinearity and complex commonality technology, applied in the field of RPC parameter optimization, which can solve problems such as limited accuracy

Inactive Publication Date: 2009-12-23
WUHAN UNIV
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Problems solved by technology

It is not difficult to see that although the fitting accuracy of RFM to control points is very high, the accuracy of RFM for geometric processing of high-resolution satellite remote sensing images is still very limited.

Method used

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  • RPC parameter parametric optimization method based on multi-collinearity analysis
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  • RPC parameter parametric optimization method based on multi-collinearity analysis

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Embodiment Construction

[0050] The flow process of the inventive method is as figure 1 As shown, it includes: first establish a strict error equation for solving RPC parameters; then determine the complex common line between the matrix column vectors through the error equation, and optimize the RPC parameters according to certain principles; finally solve the optimized one according to the principle of least squares adjustment RPC parameters. The specific operation steps are:

[0051] (1) Establish a rigorous error equation for solving RPC parameters

[0052] The rational function model expresses the image point coordinates (l, s) as the ratio of polynomials containing the ground point coordinates (P, L, H), namely:

[0053] l = N l ( P ,...

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Abstract

The invention discloses a RPC parameter parametric optimization method, which is as follows: firstly. a strict error equation which solves RPC parameters is established; then, the error equation is analyzed, multi-collinearity among matrix array vectors is designed and the RPC parameters is optimized according to the setting principle so as to reach the purpose of eliminating the RPC parametric dependence; and finally, a least square error compensation method is adopted for solving the optimized RPC parameters. When ground control points are thin, 20 to 30 independent significance RPC parameters are optimized by the method, which can effectively eliminate oscillating phenomenon of the RFM which appears in the topography fitting and obviously increase the solving of the RPC parameters and processing precision of image geometry of RFM; when the ground control points are enough, the result of the topography fitting carried out by 39 RPC parameters optimized by the method is in full accord to the result of the topography fitting carried out by 78 RPC parameters which is solved by the conventional least squares.

Description

technical field [0001] The invention relates to a method for optimizing RPC (Rational Polynomial Coefficients) parameters, and belongs to the field of photogrammetry and remote sensing. Background technique [0002] On September 24, 1999, the US Space Imaging Corporation (Space Imaging) successfully sent the IKONOS satellite into the predetermined orbit and received satellite remote sensing images, marking the arrival of the era of high spatial resolution satellite remote sensing. Since the high-spatial-resolution remote sensing satellite IKONOS adopted the Rational Function Model (RFM) to replace the strict geometric processing model based on collinear conditional equations for image geometric processing, RFM has received extensive attention from the remote sensing community and has been widely recognized by scholars. In-depth research has achieved good application results. Grodecki and Tao confirmed that RFM can be used to replace the strict geometric processing model in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C11/00G01S7/48G06F17/11
Inventor 袁修孝曹金山
Owner WUHAN UNIV
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