Method for remotely sensing image geometric correction by weighted polynomial model
A polynomial model and remote sensing image technology, applied in the field of information processing, can solve the problem of not considering the accuracy difference of control points, and achieve the effect of improving accuracy
Inactive Publication Date: 2009-07-08
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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[0008] The technology of the present invention solves the problem: Aiming at the disadvantage that the existing geometric correction model of remote sensing images does not consider the difference in control point accuracy, the present invention provides a method for geometrically correcting satellite remote sensing images with a weighted polynomial model using control points of different precision. When the control point error is known, the method of the present invention can effectively use the control point error information to improve the accuracy of the geometric correction result
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[0033] specific implementation
[0034] The method proposed by the present invention utilizes control points of different precisions to perform geometric correction on remote sensing images with a weighted polynomial model, and its implementation process is as follows: figure 1 As shown, first input the remote sensing image to be corrected; then collect the control point information, including control point image coordinates, control point ground coordinates, control point error estimate σ i ; Calculate and generate the weight matrix Q according to the error estimation value of each control point, use the control point data to calculate and generate the coefficient matrix A, and then calculate the parameter vector estimated value β of the weighted geometric correction model; Sampling to obtain corrected remote sensing image results.
[0035] In the above method, the method of generating the weight matrix by calculating the control point error estimation, its realization proce...
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The invention provides a method for realizing the geometric correction of remote sensing images by utilizing a weighted polynomial model, and belongs to the technical field of information processing. The method carries out the geometric correction of the remote sensing images according to the following steps: firstly, collecting the error messages of control points; calculating the weight factor of each control point so as to regenerate a weight matrix; then, calculating the parameter vector of the weighted geometric correction model; and finally, calculating coordinates by using the weighted polynomial model and resampling the original image so as to obtain a corrected image. Compared with the prior geometric correction methods which are based on an empirical model, the method has the advantage that control points of different precisions can be used in geometric correction at the same time; and compared with the traditional common polynomial model geometry correction methods, the invention further has an obvious improvement in precision while carrying out the geometric correction of the remote sensing images by utilizing the control points of different precisions.
Description
technical field [0001] The invention relates to a method for realizing geometric correction of remote sensing images by using a weighted polynomial model, and belongs to the technical field of information processing. Background technique [0002] Geometric deformation exists in remote sensing images, and its sources mainly include satellite platforms, sensors, earth shape, atmosphere, and map projection properties. The current development of multi-source remote sensing data fusion, integration, management and analysis technology makes the geometric correction of satellite remote sensing images more important. [0003] The geometric correction models of satellite remote sensing images can be mainly divided into physical models and empirical models. Geometric correction of satellite images using physical models requires knowledge of satellite ephemeris data such as satellite orbits and attitudes and sensor calibration parameters. For spacecraft funded by the Chinese governme...
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IPC IPC(8): G06T5/00
Inventor 杨晓梅张涛周成虎
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS