子北油田毛家河油区长6储层“四性”关系研究

本文以子北油田毛家河油区地层的岩心分析资料、录井、测井资料为依据,在分析了地层的岩性、物性特征的基础上,开展其四性关系的研究,并建立了泥质含量计算模型,孔隙度解释模型,渗透率模型以及含水饱和度计算模型。建立的解释模型具有较高的精度,对提高该区油藏储层测井精细解释的准确性具有实际意义。为子北油田的开发评价和储量计算打下了基础。     

基于区域划分的各向异性四边形网格重建方法

针对四边形网格模型中数量众多的四边形单元影响图像处理和曲面重构效率的问题,提出一种新的生成各向异性四边形网格算法,以去除冗余单元,减少单元数量。在已形成的四边形网格模型的基础上利用区域划分与多次各向异性法相结合的技术方法,实现了在同一网格模型不同区域设定不同的各向异性,合并数量不同的四边形单元,形成不同的网格密度。实例验证表明,算法在不降低网格模型相关指标的前提下,能够最大程度减少单元数量,对具有平坦区域的网格模型有更好的效果。     

共建共享地区特色数据库的思考与对策

信息时代的到来，数字资源建设已经成为图书馆建设的核心。本文通过对潮汕地区特色数据库建设的调查，分析了广东省潮汕地区共建特色数据库的必要性与可行性，提出了共建共享地区特色数据库的对策。     

On the complemented disk algebra

The importance of relational methods in temporal and spatial reasoning has been widely recognised in the last two decades. A quite large part of contemporary spatial reasoning is concerned with the research of relation algebras generated by the “part of” and “connection” relations in various domains. This paper is devoted to the study of one particular relation algebra appeared in the literature, viz. the complemented disk algebra. This algebra was first described by Düntsch [I. Düntsch, A tutorial on relation algebras and their application in spatial reasoning, Given at COSIT, August 1999, Available from: <http://www.cosc.brocku.ca/~duentsch/papers/relspat.html>] and then, Li et al. [Y. Li, S. Li, M. Ying, Relational reasoning in the Region Connection Calculus, Preprint, 2003, Available from: http://arxiv.org/abs/cs/0505041] showed that closed disks and their complements provides a representation. This set of regions is rather restrictive and, thus, of limited practical values. This paper will provide a general method for generating representations of this algebra in the framework of Region Connection Calculus. In particular, connected regions bounded by Jordan curves and their complements is also such a representation.     

三峡地区的水土流失与水土保持

三峡地区沟壑纵横、地形破碎，交通不便、生态环境恶化，经济和社会发展一直比较缓慢，三峡工程的兴建，给三峡地区的经济和社会发展带来了良好的机遇，了对这一地区的农业生产和生态保护提出出更高的要求。１９８８年，国务院批准将长江上游列为国家水土保持重点防治区，这是增强三峡地区的农业基础设施改善生态环境，实现该地区经济可持续发展的基础工程。     

关于顶点链编码的图像区域表示和填充算法

图像区域的表示和显示是图像处理和图像分析、计算机制图和计算机图形学中的重要研究课题.以顶点链编码为基础,提出一种以顶点链编码来表示二值图像的方法,完成了对于图像区域的简单表示.同时着重提出了一种将用以表示二值图像的顶点链编码转化为原二值图像的算法.该算法对表示二值图像区域的顶点链编码点进行记录处理,配对被记录的顶点链编码点,然后运用水平扫描线来填充图像区域,从而将原图像根据顶点链编码完全恢复出来.     

An improved algorithm for the detection of plumes caused by natural or technological hazards using AVHRR imagery

Fires caused by natural or technological disasters emit large amounts of smoke which, once formed into plumes, may affect the human health and the environment. Satellite remote sensing data provide an effective tool to achieve detection and monitoring of these plumes over large areas on a routine basis. Discrimination of plumes on satellite images is a prerequisite to study and retrieve physical, chemical and optical properties of emitted smoke. An improved algorithm for the detection of plumes caused by natural or technological hazards using AVHRR imagery is presented in this study. The method is based on a multi-temporal and multi-spectral change detection algorithm. It is performed in two main steps: a) appropriate spectral and spatial filters are applied on the images acquired before and after a fire event in visible and near-infrared ranges in order to extract the core of the plume; b) a criterion on spectral information is defined as an homogeneity measure that enables, through a modified version of the region-growing method, the spatial expansion of the detected core to include the complete area covered by the plume. Through this approach, a pixel is identified as a plume pixel if it is “close” to the core plume pixels in both spatial and spectral spaces. The algorithm was developed and calibrated using AVHRR images acquired over Spain before and during a major forest fire event on July 16, 2005. It was applied using past events of natural and technological hazards in several locations to ensure its global applicability and robustness. The algorithm produced accurate results in all cases of plumes, either in natural or in technological fire events. Three application cases are presented in this study: A major fire in an industrial installation in London (December 11, 2005), a major fire in Baghdad during the recent war in Iraq (April 1, 2003) and a forest fire in California (September 29, 2005).     

二维Fisher准则函数在区域生长算法中的应用

本文针对传统区域生长算法中“种子”和“相似性准则”不能自适应获得的缺点,将二维Fisher准则函数算法[1]应用到区域生长算法中,根据图像特征,利用二维阈值,自动确定“种子”和“相似性准则”。实验表明,该算法不仅利用了二维Fisher准则函数算法的优点,而且也使区域生长算法具有自适应性,对荧光磁粉图像具有较好的分割效果。     

基于梯度向量流的医学图像自动分割

提出了一种基于梯度向量流的自动图像分割算法，该算法首先将梯度向量流场转化为一个标量场，该标量场能够显著简化种子点选取和区域增长的步骤。在得到图像的初始分割后，再使用基于区域邻接图的算法来将相似区域合并得到最终分割结果。试验结果表明，该算法能够有效地解决医学图像中多目标区域的自动分割问题。     

基于动态感兴趣区域车道线分段拟合算法

提出实时视频中基于动态感兴趣区域及分段拟合的车道线的检测算法,动态调整感兴趣区域（ROI）,缩小处理空间。采用大津算法（OTSU）动态提取感兴趣区域灰度阈值,并将该值作为多梯度Sobel边缘检测中的灰度阈值以提高边缘检测精度,利用改进的并行快速细化算法骨架化边缘图像,利用基于广度优先最短路径算法去除毛刺,最后再将图像划分近景和远景区域。在不同区域,采用直线或者曲线分段拟合,提高拟合精度。模拟实验结果表明,背景不太复杂时,一帧图像处理时间约为15ms;而背景较复杂时,处理时间约为35ms,能满足实时性。