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本文给出了一种采用DEM模拟出的影像和星载合成孔径雷达(SAR)精配准策略的正射校正方法。首先根据DEM数据采用距离-多普勒模型和经验公式模拟出SAR图像,然后分别采用Harris算子和互信息匹配的方法提取模拟图像和实际SAR图像上的同名特征点,并根据这些特征点构建的不规则三角网(TIN)实现模拟SAR图像和实际SAR图像的精确配准。最后将星载SAR图像通过实际图像和模拟图像的精确配准关系以及模拟图像和DEM数据之间的对应关系校正到DEM所在的地理坐标中,实现SAR图像的正射校正。
In this paper, an orthorectification method of imaging and spaceborne synthetic aperture radar (SAR) fine registration strategy simulated by DEM is presented. Firstly, the SAR images are simulated based on the DEM data using the distance-Doppler model and the empirical formula. Harris operators and mutual information matching methods are then used to extract the same-name feature points on the simulated images and real SAR images, respectively, and based on these feature points The irregular triangulation network (TIN) realizes accurate registration between simulated SAR images and actual SAR images. Finally, the spaceborne SAR image is corrected to the geographical coordinates of the DEM by the exact registration of the actual image and the simulated image and the correspondence between the simulated image and the DEM data to achieve orthorectification of the SAR image.