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提出了应用于三维非对称温度场全息层析测量的一种最优松弛因子下有序迭代计算的最大熵重建算法。通过计算机模拟，考察了重建精度与投影方向数及迭代次数的关系。结果表明该算法具有计算效率高，收敛快，尤其适合于少投影数的重建问题。
A maximum entropy reconstruction algorithm for sequential iterative calculation under optimum relaxation factor is proposed for holographic tomography of three-dimensional asymmetric temperature field. Through computer simulation, the relationship between the reconstruction accuracy and the number of projection directions and the number of iterations was investigated. The results show that the proposed algorithm has the advantages of high computational efficiency and fast convergence. It is especially suitable for the reconstruction of less projection numbers.