准实时微机图像处理系统的设计与实现

本文介绍了实时微机图像处理系统的结构与功能。该系统采用了一种数字信号处理器TMS320C25对图像信号进行处理。还讨论了为实现高质量图像处理的一些关键技术。     

多级BP神经网络石油测井信号分类器

本文提出了一种利用多级ＢＰ神经网络进行石油测井信号分类的新方法．介绍了用多级ＢＰ网络处理测井信号的分类器算法和网络结构，并给出了针对理论模拟信号的分类结果及针对实际模型井信号的分类结果，其正确率可达９０％以上．     

Eigendecomposition of TDR waveforms: a novel method to determine water content and pore fluid concentration of sandy soils

In this study, an incident pulse signal of several harmonics (i.e., multiples of the fundamental frequency) was used as a source in the time domain reflectometry (TDR) probing technique. Reflected signals were captured by an oscilloscope and their characteristics were determined via eigendecomposition. Autoregressive modeling and singular value decomposition were used to calculate the eigenvalues and the most significant ones were identified based on power spectrum. A multivariate statistical analysis was performed for the two most dominant eigenvalues, which are dependent on water content and salt concentrations, and regression equations were obtained. To determine the water content and salt concentrations in terms of the first and second eigenvalues, a modified Powell hybrid algorithm was used to solve the obtained system of nonlinear equations. Actual and predicted results are in agreement indicating that the developed method is very successful in predicting water content and salt concentrations. Furthermore, on comparing the eigendecomposition method with Fourier spectral analysis, one can observe that the former is superior in predicting water content and salt concentrations.     

相关检测在甚低频电磁信号检测中的应用

介绍了在甚低频电磁接收机研制中如何利用有关软件以相关检测方法来检测甚低频电磁信号的幅度信息，并给出了理论和实际的检测结果。     

γ射线康普顿背散射扫描仪测量的信噪比研究

本文详细给出了ＣＢＳ测量中噪声的物理来源和降低噪声的有效措施,还对信噪比进行了定量的分析和讨论。     

天文CCD片内放大器的噪声特性及其抑制方法

分析了低光度天文应用时CCD器件的主要噪声源的噪声特性和三种典型CCD读出信号处理方式的噪声抑制效果;提出了天文CCD读出信号的相关多次采样(CMS)处理新方法,并分析了四次采样抑制CCD读出噪声的实验结果。     

山洞电源、信号线路改造与接地网建设相关技术探讨

本文对铁岭地震台在山洞电源，信号线路改造与接地网建设中遇到的问题及解决的办法做简要介绍，依据洞室固有条件，结合《规范》要求，探讨了监测环境建设施工经验。     

地震电磁辐射数字化观测方法及异常信号分析

地震电磁辐射观测对短临预报非常有意义,讨论了以计算机为核心的数字化观测系统的可行性与必要性,并给出了实际观测系统的设计方法。数字化系统具有观测灵敏度高,便于观测信号的实时分析识别,便于应用算法提取短临预报的有用信息和便于观测台网间数据交流与处理等优点,基于对观测信号的时域,频域分析的比较,给出干扰信号与异常电磁辐射信号的判别方法。     

The role of visual saliency in the automation of seismic interpretation

In this paper, we propose a workflow based on SalSi for the detection and delineation of geological structures such as salt domes. SalSi is a seismic attribute designed based on the modelling of human visual system that detects the salient features and captures the spatial correlation within seismic volumes for delineating seismic structures. Using this attribute we cannot only highlight the neighbouring regions of salt domes to assist a seismic interpreter but also delineate such structures using a region growing method and post‐processing. The proposed delineation workflow detects the salt‐dome boundary with very good precision and accuracy. Experimental results show the effectiveness of the proposed workflow on a real seismic dataset acquired from the North Sea, F3 block. For the subjective evaluation of the results of different salt‐dome delineation algorithms, we have used a reference salt‐dome boundary interpreted by a geophysicist. For the objective evaluation of results, we have used five different metrics based on pixels, shape, and curvedness to establish the effectiveness of the proposed workflow. The proposed workflow is not only fast but also yields better results as compared with other salt‐dome delineation algorithms and shows a promising potential in seismic interpretation.