基于SIFT特征配准的多帧迭代盲解卷积算法

在未配准的情况下,多帧图像解卷积算法不能发挥其利用多帧图像信息互补的优势,针对这种情况,本文将基于SIFT特征配准的算法引入多帧图像解卷积算法中,这一做法克服了各帧影像之间相同位置不同细节像素之间的影响,有效地提高了复原图像的质量。实际观测数据的复原结果证明了本文思想的正确性,配准后图像的复原结果更加清晰,且体现出观测目标更多的细节信息。     

基于非因果滤波器的多次波匹配相减方法(英文)

在常规多道匹配滤波方法中的滤波器是物理可实现的因果滤波器,只能实现地震信号序列延迟的滤波。本文提出了最小二乘意义下的非因果多道输入多道输出维纳滤波方法,通过比较多道匹配相减中因果和非因果滤波方法之间的差别,验证了方法的有效性,解决了模型数据滞后于实际数据的情况。而且,通过定义长度随偏移距和层速度变化的滑动时窗,解决了匹配时窗内同相轴数量随偏移距增大而增加的问题。并将上述方法应用到改进的扩展多道匹配相减去除多次波的方法中,利用Pluto1.5理论模拟数据,对非因果滤波器和变长度时窗的匹配相减方法进行测试,取得了很好的去除多次波后的地震数据。     

单程波最优化可分近似偏移方法精度分析(英文)

单程波算子的可分近似形式是关于空间变量和波数变量的函数,这使得快速傅里叶变换的利用成为可能,从而极大提高了计算效率。从函数近似的角度来看,最优可分近似方法与其他几种可分近似方法一样都具有单程波算子可分表达的形式,但最优可分近似方法是其中唯一的函数整体近似的方法,这就造成了该方法在相位误差曲线、脉冲响应、模型偏移结果上表现出与其他可分近似方法不一样的特征:该方法精度较高,且随着阶数的增大,对速度变化的敏感度降低。     

基于单程波真振幅分步傅里叶叠前深度偏移方法

这里将单程波真振幅方程与分步傅里叶算子（SSF）相结合,同时还结合了保幅算法和分步傅里叶算法的优点,因此该方法具有计算量小,占内存少,能处理横向变化的速度等优点。并且克服了傅里叶有限差分方法偏移后的振幅都有很大的偏差的不足。与目前广泛应用的常规的分步有限差分叠前深度偏移相比,具有成像精度高,保持地震波动力学特征等优点。在Marmousi模型上成功地进行了真振幅分步傅里叠前深度偏移处理,取得了理想的成像效果。     

Numerical simulation of seismic wave propagation in complex media by convolutional differentiator

We apply the forward modeling algorithm constituted by the convolutional Forsyte polynomial differentiator pro-posed by former worker to seismic wave simulation of complex heterogeneous media and compare the efficiency and accuracy between this method and other seismic simulation methods such as finite difference and pseudospec-tral method. Numerical experiments demonstrate that the algorithm constituted by convolutional Forsyte polyno-mial differentiator has high efficiency and accuracy and needs less computational resources, so it is a numerical modeling method with much potential.     

Hybrid formulation of operator splitting (OS) and Newmark‐β methods for collaborative structural analysis (CSA)

A collaborative structural analysis (CSA) system is developed, which is capable of performing highly sophisticated structural analyses utilizing beneficial features of existing individual structural analysis programs. In the system, the global equations of motion for the overall structural system are formulated in the host program. Some substructures, whose behaviors are relatively simple, are directly solved in the host program, whereas those having complex behavior are analyzed by the station programs. A time‐consuming static condensation procedure is needed for the substructures analyzed by the station programs if adopting an implicit integration scheme. The operator splitting (OS) method, which does not require tangential stiffness, can be used to improve the system efficiency. To this end, a hybrid formulation of the Newmark‐β and OS methods is proposed, and a CSA scheme based on the hybrid formulation is developed. In the CSA system adopting the hybrid formulation, the degrees of freedom whose tangential stiffness are unavailable are formulated by the OS method, whereas the rest are still formulated by the commonly used Newmark‐β method. Using the system, analyses of a three‐story‐braced steel moment‐resisting frame are conducted. In the analyses, the column bases are analyzed using the commercial finite element method software ABAQUS, and the remaining structural elements are analyzed using a frame analysis program called NETLYS. Results suggest that the hybrid formulation is very effective for the CSA system. Copyright © 2008 John Wiley & Sons, Ltd.     

利用CFP技术解决复杂近地表问题综述

复杂近地表条件会降低地震数据的质量,通常采用基于地表一致性的时移静校正消除其影响.但静校正与速度是密不可分的,而确定复杂近地表速度是非常困难的.基于CFP技术处理复杂近地表问题时避免了对速度的直接操作,使得静校正和速度的确定相互独立.首先根据叠前数据估算出波场的传播算子,然后依据等时原理在DTS模板中进行算子更新,再用这些更新的算子重建基准面和实现近地表单程时间成像.获得正确的算子振幅也是重建基准面的关键.     

一种改进的基于非高斯性最大化的预测反褶积算法

The predictive deconvolution algorithm （PD）, which is based on second-order statistics, assumes that the primaries and the multiples are implicitly orthogonal. However, the seismic data usually do not satisfy this assumption in practice. Since the seismic data （primaries and multiples） have a non-Gaussian distribution, in this paper we present an improved predictive deconvolution algorithm （IPD） by maximizing the non-Gaussianity of the recovered primaries. Applications of the IPD method on synthetic and real seismic datasets show that the proposed method obtains promising results.     

基于Min-Max算子的遥感影像线状地物提取

将模糊数学中极小-极大算子的概念引入到遥感影像线状地物的半自动提取中。实验结果表明该方法能够有效地克服影像上各种噪声的影响,提取速度较快并具有较强的鲁棒性。     

无单元法布点优化的一种新方法

研究了无单元法中单个影响域内的布点形式对误差的影响,提出了半径权值的概念。在经过充分的数值计算后,给出在半径权值对无单元法插值结果的精度的影响值的大小。研究对优化无单元法的节点布置、减小模拟误差有很大的作用,并且使得影响域的大小不再依靠点数的多少来确定,避免了影响域过大的情况和为了单个影响域内有足够多的插值点而使得整体插值点数目过多的弊端。运用单个区域内的插值点健康度的理论,研究了整个区域布点对无单元法模拟函数--滑动最小二乘法模拟精度的影响,并运用遗传算法对整个布点区域上的插值点进行了优化,给出了区域上的优化值。通过一个实例,得到一个具有普遍意义的插值点优化值与插值点密度的关系,并给出无单元法布点的一般性原则。