基于散乱数据点集构造三角插值曲面的方法，在CAD/CAM、科学计算可视化、图像处理等领域有着广泛的应用。
The triangular interpolating surface construction based on scattered data points has extensive applications in CAD/CAM, scientific visualization, image processing.
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.
该方法通过在遥感图像上选取局部极值点来构成平面散乱数据点集，并在此基础上进行三角剖分、优化和三角插值曲面构造。
It gets the plane scattered data points through selecting the local extremum points on the remote image, and then triangulates, constructs the triangular interpolating surface on it.
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