复杂起伏地表的POD数值模拟

Numerical Simulation of Rugged Topography by Proper Othogonal Decomposition(POD)

对油气勘探和大地测量中的复杂起伏地表采用POD方法进行数值模拟。从大量的观测数据中提取出标准正交的基函数,用这些基函数对起伏地表进行拟合。模型试验表明:这种方法是高效可行的,可广泛应用于数据压缩、图像处理、信号分析和流体的优化控制中。

The POD is intrduced to simulate rugged topography in hydrocarbon exploration and the GPS surveying. The main idea of POD is to extract a set of normal orthogonal basis functions from a large number of experimental data and apply them to fit rugged topography. The model tests show that the POD method is efficient and feasible. The POD method may be extensively used in data compression, image processing, signal analysis and optimal control of fluids.