摘要
该文提出了求解阻尼加权最小二乘问题的共轭梯度型成像算法,采用自然权和先验信息约束对有高斯噪声的数据进行了数值试验、并应用于四川雅砻江桐子林水电站坝址测区的地震层析成像,图像质量良好.
Thls paper presents a new conjugate gradient type algorithm to solve the damped, weighted least - squares problem for seismic tonlography. Combining the natural weight and a priori constralnt, the numerical tests with Gaussian noisy data are performed. The results show that the method is superior to the conventional least squares method. Finally, the method has been applied to Tongzhilin (Sichuan, China) Hydro-electric Power cross - well data, and the reconstructed velocity image agrees well with the geological conclusion.
出处
《应用科学学报》
CAS
CSCD
1997年第3期325-334,共10页
Journal of Applied Sciences
基金
国家自然科学基金
中国长江三峡工程开发总公司联合资助
关键词
地震
层析成像
共轭梯度法
CT
迭代算法
Seismic tomography, Conjugate gradient, Damped and weighted leastsquares solution