首页> 外文会议>Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International >DEM generation from stereo SAR images based on polynomial rectification and height displacement
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DEM generation from stereo SAR images based on polynomial rectification and height displacement

机译:基于多项式校正和高度位移的立体SAR图像DEM生成

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This work introduces the algorithm on DEM generation from stereo SAR images based on polynomial rectification and height displacement, and experiments according to the algorithm on RADARSAT and airborne SAR images in mountain area. To generate DEM from stereo SAR image, there are three kinds of models mostly to be used: 1) the model of range and Doppler equations, 2) the equivalent line central projection model based on the photogrammetry theory, 3) the parallax and elevation relation model which uses the relation between parallax and elevation to calculate elevation difference and then getting the plane coordinates. The model used in This work can be one of the third ones. In our model, image distortion caused by factors other than elevation is corrected by polynomial rectification, and elevation is decided by the difference of height displacement in the pair of the stereo SAR images. As the first step, a certain elevation, for instance the mean elevation of the image pair, is given to the point in process. Secondly, the height displacement in the left image can be corrected, and then the plane coordinates can be gotten by polynomial rectification functions of the left image. Thirdly, by polynomial rectification functions of the right image, the image coordinates of the "same name point" in the right image are available. Finally, from the difference between the coordinates and the actual ones, a new elevation can be gotten by the model of the height displacement of the right image. These steps can be repeated until the new elevation is very close to the old one. According to the above algorithm, programme has been designed. And then, experiment has been down on RADARSAT image in a mountain area in China (Dali, Yunnan). The accuracy is about 3 pixels. For airborne SAR images, some experiments have been down in another mountain area of China (Zhengzhou, Henan) with 1 meter resolution SAR images, and the results are similar to that of the first experiment. So, the new algorithm on DEM created from SAR image pairs introduced by This work is efficient and practicable. After modification, this method can also be used for mixed pair of SAR and optical images.
机译:本文介绍了基于多项式校正和高度位移的立体SAR图像DEM生成算法,并根据该算法对山区的RADARSAT和机载SAR图像进行了实验。为了从立体SAR图像生成DEM,主要使用三种模型:1)距离和多普勒方程模型; 2)基于摄影测量理论的等效线中心投影模型; 3)视差和仰角关系该模型使用视差与高程之间的关系来计算高程差,然后获取平面坐标。本工作中使用的模型可以是第三种模型之一。在我们的模型中,由高程以外的因素引起的图像失真通过多项式校正进行校正,而高程则由一对立体SAR图像中的高度位移之差决定。第一步,将一定的高程(例如图像对的平均高程)提供给进行中的点。其次,可以校正左图像的高度位移,然后通过左图像的多项式校正函数得到平面坐标。第三,通过右图像的多项式校正函数,可获得右图像中“相同名称点”的图像坐标。最后,从坐标和实际坐标之间的差异,可以通过右图像的高度位移模型获得新的高程。可以重复执行这些步骤,直到新标高非常接近旧标高为止。根据以上算法,设计了程序。然后,对中国山区(云南大理)的RADARSAT图像进行了实验。精度约为3像素。对于机载SAR图像,一些实验已在中国另一个山区(河南郑州)进行,该实验的分辨率为1米,其结果与第一个实验的结果相似。因此,本文提出的由SAR图像对创建的DEM新算法是有效可行的。修改后,该方法还可用于SAR和光学图像的混合对。

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