在图象配准的基础上，我们利用一个迭代的散乱点插值方法来重构高分辨率图象。
Finally, we use a iterative method to interpolated reconstruct the high resolution images.
高分辨率SAR图象中目标背景复杂，同时由于受相干斑噪声的影响，很难直接从原始图象数据中提取道路特征。
As the background of objectives in high-resolution SAR images is complicated and also affected by speckle noise, it is almost impossible to extract roads directly from original remote sensing images.
如果完全靠传统的人工方法对大幅面高分辨率遥感图象进行判读和识别，效率和精度都无法保证。
The efficiency and precision of interpretation and recognition from large breadth remote sensing images with high resolution are not assured if the traditional manual methods are only applied.
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