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Research on airborne stripe SAR image correction model in region of lack control points

机译:缺乏控制点区域机载条纹SAR图像校正模型研究

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This paper contrapose the airborne stripe SAR image correction, a new method was discussed which utilized the junction condition in overlap area of adjacent stripe SAR images to assist determination the coefficients of rectification function. At first, the rectification function style was chosen, considering the area of every stripe SAR image is small and narrow, the polynomial correction which has second order term of x and y is chosen. During the processing of determine rectification function, the GCPs and homologous point are used to establish the error equations, and then the coefficients is solved by adjustment integrated in whole area. The rectification function is utilized to every stripe image, and then the rectified stripe images are mosaic to the orthoimage of whole interesting area after the rectification. Since the junction condition is used, the number of GCPs can be reduced and the consistency in overlap area of adjacent stripe images is much better. The experiment Result has verified the reliability and validity of this method, it is suitable the area with few GCPs.
机译:本文针对机载条纹SAR图像校正提出了一种新方法,该方法利用相邻条纹SAR图像重叠区域的结点条件来辅助确定校正函数的系数。首先,选择校正函数样式,考虑到每个条纹SAR图像的面积又小又窄,选择具有二阶项x和y的多项式校正。在确定整流函数的过程中,利用GCP和同源点建立误差方程,然后通过整区域积分对系数进行求解。将校正功能用于每个条纹图像,然后在校正之后将校正后的条纹图像镶嵌到整个感兴趣区域的正像上。由于使用了接合条件,因此可以减少GCP的数量,并且相邻条纹图像重叠区域的一致性要好得多。实验结果验证了该方法的可靠性和有效性,适用于GCPs少的区域。

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