论文部分内容阅读
利用MonteCarlo技术估算静校正时总会出现零空间现象，即炮点静校正量或检波点静校正量作相同时移。本文认为产生零空间的根本原因是：由于MonteCarlo静校正时移量较大，记录含有噪声，实际资料还存在剩余动校正量，于是产生了伪长波长静校正分量和伪短波长静校正分量，这两个分量“贡献”到叠加结果中，导致叠加能量退化，从而产生了零空间。在此基础上，本文提出了其解决方法──自适应空间滤波法。实验证明，该方法可消除零空间现象，避免了叠加能量退化，加快了收敛速度，较好地保证MonteCarlo技术搜索到全局最优解。
The use of MonteCarlo technology to estimate the static correction will always appear when the phenomenon of zero space, that is, statics of shots static or static correction point for the same time-shift. This paper argues that the fundamental reason for generating zero space is as follows: due to the large amount of static shift of Monte Carlo calibration, the recording contains noise, the actual data there are still residual correction, then pseudo-long wavelength static correction components and pseudo-short wavelength static correction components, These two components “contribute” to the overlay result, resulting in the degradation of the superimposed energy, resulting in zero space. On this basis, this paper presents its solution ─ ─ adaptive spatial filtering method. Experimental results show that this method can eliminate zero space phenomenon, avoid the degradation of superposition energy, speed up the convergence rate, and better guarantee MonteCarlo technology to search the global optimal solution.