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.
本文介绍一种基于遥感图像散乱数据点的三角曲面片插值构造方法。
This paper will present a method to make the triangular interpolating surface based on scattered data points of remote image.
数值计算实例说明该方法解决散乱数据插值问题的有效性。
Through a computation example, the method is proved to be available to solve the problems about interpolation of scattered data.
数值计算实例说明该方法解决散乱数据插值问题的有效性。
Through a computation example, the method is proved to be available to solve the problems about interpolation of scattered data.
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