遥感图象的典型变换方法及其在岩性识别中的应用

本文简要地介绍了遥感图象的典型变换方法的数学原理,提出了建立典型变换矩阵的两种方法:(1)从野外地物反射波谱数据的典型分析求出;(2)直接从遥感数字图象的亮度值数据求出。文中还讨论了地面反射波谱的典型分析结果与多光谱遥感图象亮度值典型分析结果之间的关系,论述了将地面波谱典型分析结果用于数字遥感图象处理的可行性。简述了在101图象处理系统上实现典型变换的步骤。最后给出两个用于岩性识别的实例。     

宁夏川区强对流天气雷达判别及预报指标检验

利用回归概率法和x2 检验法分门别类建立判别宁夏川区强对流天气的类型 ,找出了一些直观、简便、可行的预报指标 ,并用历史资料进行检验 ,得到了一些有规律性的结论 ,对作好预报服务工作有一定的实用价值     

黄、东海春季水团的模糊判别分析

使用1987年5～6月黄、东海的调查资料,在水团多元模糊划分的基础上,引入了使用隶属函数的模糊判别分析,对海域中的11个水团模糊划分的有效性,给出了合理的判别方法,使水团的模糊分析增添了新的内容,得到了一些有益的结论。同时,简要地分析了各水团的分布与特征。     

Discrimination of Natural Fractures Using Well Logging Curve Unit

It is very difficult to discriminate natural fractures using conventional well log data, especially for most of the matured oUfields in China, because the raw data were acquired with relatively obsolete tools. The raw data include only GR and SP curves, indicative of lithology, AC curves, used to calculate the porosity of the formation, and a set of logging curves from various electrode length resistivity by laterolog. On the other hand, these oilfields usually have a large amount of core data which directly display the characteristics of the formation, and enough information of injection and production. This paper describes an approach through which logging curves are calibrated in terms of the raw data, and then a prototype model of natural fractures is established based on the investigation of core data from 43 wells, totaling 4 000 m in length. A computer program has been developed according to this method. Through analysis and comparison of the features of logging curves, this paper proposes a new concept, the well logging curve unit. By strictly depicting its shape through mathematical methods, the natural facture can be discriminated. This work also suggests an equation to estimate the probability of fracture occurrence, and finally other fracture parameters are calculated using some experimental expressions. With this methodology, logging curves from 100 wells were interpreted, the results of which agree with core data and field information.     

采区三维地震资料解释技术的实践与探讨

为了适应煤田开发的需要，采区三维地震勘探倍受青睐，随着煤田野外三维采集技术，室内全三维处理技术，解释方法与技术不断发展和交互工作站功能的改进与更新，采区三维解释技术日趋完善和丰富。本文将从采区三维构造解释与成图技术以及采区解释技术的有关问题进行阐述。     

一种基于模糊判别的指纹识别算法

利用模糊判别技术提出了一种指纹识别方法，改进了Anil Jain等提出的细节匹配算法，有效地解决了图像质量很差时经常检测到很多伪细结点而丢掉很多真细结点、细节匹配难有大作为的情况。该算法有较强的抵抗噪声与非线性形变的能力。     

学习向量量化(LVQ)在地震和爆破识别中的应用

介绍了竞争神经网络和学习向量量化（LVQ）算法。此算法应用于对北京及周围地区地震和爆破的识别中，在对38个事件的应用中，得到的结果是，误识为3个，结果较好，说明在识别中是有效的。