一种基于对象和多种特征整合的分类识别方法研究

遥感图像空间分辨率的提高，为目标物的纹理特征和形状特征的提取提供了客观基础，同时也使得传统的基于像元的分类识别方法受到了严重的挑战。因此，需要对传统的方法进行改进或发展新的方法。本文采用面向对象的分析思想，通过图像分割和分割对象的矢量化等一系列的预处理，并在此基础上实现了目标形状信息的提取，最后综合利用光谱特征和形状特征应用模糊分类器实现两种典型的人造目标的分类提取实验。识别的精度评价主要通过目视解译完成。分析表明，形状信息的提取大大丰富了目标识别的特征库，尤其在感兴趣目标与背景物具有相近的光谱反应而形状特征有明显差异的条件下，这种利用光谱与形状特征整合的提取方法能够大大提高目标的识别精度。     

融合区域分割和边缘信息的居民地提取方法

提出了一种集成边缘和区域分割信息的目标识别方法，其目的是在中小比例尺的航空影像中提取集团式居民地。在实际的航空影像上的实验表明，融合区域分割和边缘信息能够提高居民地提取的准确率。     

基于内容的图像自适应加网方法

提出了一种新的基于图像内容纹理分割的加网方法。试验表明，该方法能够在图像输出精度较低的情况下更有效地再现原稿的层次和细节。     

基于ArcObjects的公路动态分段数据的组织与实现

介绍了ArcObjects处理空间数据的相关层次结构,在动态分段思想的基础上设计了公路分段数据存储结构,提出了公路分段数据处理过程中的组织方法,并对数据合并方法进行了改进,最后设计出了数据生产过程模型和相应的数据生产软件。     

Geospatial Semantic Interoperability Based on Ontology

In GIS field, great varieties of information from different domains are involved in order to solve ac- tual problems. But usually spatial information is stored in diverse spatial databases, manipulated by different GIS platforms. Semantic heterogeneity is caused due to the distinctions of conception explanations among various GIS implements. It will result in the information obtaining and understanding gaps for spatial data sharing and usage. An ontology-based model for spatial information semantic interoperability is put forward after the comprehensive review of progress in ontology theory, methodology and application research in GIS domain.     

利用非线性扩散的半自动纹理图像分割

介绍了一种非线性扩散过滤器法从包含纹理的图像中获取灰度、尺度和方向信息，并形成经过耦合保边平滑的5通道向量值图像，对纹理图像的分割变为对此向量值图像的分割。针对半自动操作的特点，在合理的假设前提下，采用了多通道统计区域分割法。试验结果表明，本文的纹理分割方法能有效地利用重要纹理特征与灰度的混合信息，是一种半自动的无监督纹理图像分割方法。     

eCognition技术在高分辨率遥感影像信息提取中的应用

本文提出了面向对象的多尺度分割策略,针对不同尺度的地物信息采用不同的分割尺度,在此基础上构建多尺度分割等级网,实现了地物信息的分层提取。以北京怀柔区QuickBird遥感影像为试验区进行信息提取,给出了多尺度分割参数的设置规律,获得了较好的效果,总体精度为84．82%。     

皇城—双塔断裂带的几何分段及运动学特征

在室内航,卫片解释及野外１：５万大比例尺活断层地质填图等专项研究的基础上,论证了１９２７年古浪８级大震主发震断裂皇城－双塔断裂带的几何分段及运动学特征。依据断层的几何特征,活动时期,活动强度可将该断裂带分为３段,分别为皇城盆地段（西段）、上寺段（中段）和冬青顶段（东段）。其中东段是古浪地震的发震段,与西段和中段相比,它具有活动时代新、活动强度大等特点,属全新世活动段。１９２７年古浪地震的发生与其特     

语义Web本体语言及OWL研究

面对Internet应用模式的变化和Web海量信息的冲击,Web信息个性化、智能化的研究不断深入.语义Web规划对当前的万维网进行扩展,期望用加入信息中的语义内容导航信息资源检索并提高网络服务的智能化,使机器自动与人协同工作.目前,虽然语义Web还是个理想模型,但将语义Web融入现有Web结构进行信息智能开发的初步努力已经展开.特别是随着对本体技术研究的日渐深入,OWL本体理论探索和应用开发逐渐受到广泛重视.     

Prerift and synrift sedimentation during early fault segmentation of a Tertiary carbonate platform, Indonesia

Eocene carbonate deposits of the Barru area, Sulawesi, Indonesia, provide a rare insight into sedimentation prior to and during propagation of normal faults to the surface. Three main successions; late prerift, latest prerift/earliest synrift and synrift, are characterised by distinctive facies associations and sequence development. Shallow water foraminiferal shoals and intervening lower energy depositional environments occurred during the late prerift in areas which latter formed footwall highs and hangingwall depocentres, respectively. During the latest prerift/earliest synrift, shallow water shelves deepened laterally into slope environments in developing hangingwall depocentres. In both these sequences, sections in developing hangingwall areas are thickest, deepen up-section and thin laterally towards growing footwall highs. Active faulting resulted in rapid drowning of hangingwall depocentres and massive reworking of material derived from collapse of the platform margin and adjacent shallow water/emergent footwall highs.Differential subsidence, controlling water depths and accommodation space, types of carbonate producers and active faulting were the main factors affecting depositional environments and facies distributions. Carbonate producers are extremely sensitive indicators of depositional water depth and energy, hence rapid lateral and vertical facies variations in the Barru area provide quantifiable insight into environmental changes prior to and during active faulting.