CAJ | 학술논문

结合曝光光源对称和矩阵计算的特点,本文提出了一种快速的部分相干成像算法.根据部分相干光源对称的特点,将光源离散为以光源中心为原点的不同半径的圆,沿一条直线在每一个圆上采样,从而将传统正交离散二维采样简化为一维沿半径采样,减少了部分相干光源的采样数;同时,利用矩阵的点乘来加快计算速度.仿真计算结果表明,在曝光光源采样数相同时,采用沿半径采样方法的算法精度更高,在要求计算精度相同时,圆半径采样方法的采样数为传统正交采样方法(N×N)的1/N,大大提高了算法的计算效率.
결합폭광광원대칭화구진계산적특점,본문제출료일충쾌속적부분상간성상산법.근거부분상간광원대칭적특점,장광원리산위이광원중심위원점적불동반경적원,연일조직선재매일개원상채양,종이장전통정교리산이유채양간화위일유연반경채양,감소료부분상간광원적채양수;동시,이용구진적점승래가쾌계산속도.방진계산결과표명,재폭광광원채양수상동시,채용연반경채양방법적산법정도경고,재요구계산정도상동시,원반경채양방법적채양수위전통정교채양방법(N×N)적1/N,대대제고료산법적계산효솔.
A fast computation algorithm for aerial images is presented based on the sysmmetric properties of illumination light and matrix multipication. The new discretization approach divides the light source into many concentric circles based on the sysmmetric properties, and the resulting sampled source points can be put along one line outgoing from the origin point, which can reduce the sampling number due to its simplified two dimension traditional orthogonal discretization method to one dimension concentric circles method. In addition, a matrix multiplication technique is adopted to speed up the computation. The simulation results show that under the same sampling number, the circle discretization approach has a higher accuracy than the traditional orthogonal discretization method, and under the same accuracy, the sampling number of concentric circles method is 1/N to the traditional orthogonal discretization method (N×N).