采用测地线划分曲面，应用最小极值法进行曲面的展开。
Adopting geodesics as dividing lines, space surfaces were developed by minimal extremum method.
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.
针对粒子群优化算法(PSO)应用于多极值点函数易陷入局部极小值，提出旋转曲面变换(RST)方法。
Aimed at particle swarm optimization (PSO) algorithm being easily trapped into local minima value in multimodal function, a rotating surface transformation (RST) method was proposed.
应用推荐