叶面积指数(LAI)的遥感定量方法综述

总结了当前遥感定量研究叶面积指数(LAI)的两种主要方法:统计模型法和光学模型法,阐述了各自的机理和研究进展,在此基础上,讨论了两种方法的优缺点及未来的发展趋势。     

海岸海洋潮流模拟可视化与虚拟现实建模

潮流数值模拟的科学可视化与虚拟现实是海岸海洋科学研究重要的现代技术手段之一。首先从地理信息系统的角度对潮流数值模拟系统的数据模型进行了论述，提出了适合水文数值模拟的对象模型方法；其次探讨了空间流场的可视化技术，阐述了虚拟现实在潮流数值模拟中的作用；最后设计并实现了一个海岸海洋潮流模拟虚拟现实的原型软件系统VRO－cean,并在南黄海辐射沙洲等的潮流数值模拟试验中进行了实际对比检验。     

3维GIS面向对象数据模型的研究与应用

3维数据模型是3维GIS研究中亟待解决的一个核心问题。在充分分析现有3维数据模型的基础上，从实际应用出发，针对传统模型的不足，提出1种3维GIS面向对象数据模型，以解决空间不规则实体本身，以及实体间复杂关系的描述、表达和组织等关键问题，并给出此模型应用实例，证明此模型的可行性和实用性。     

西藏班公湖-怒江板块结合带岩金遥感找矿模式

西藏班公湖-怒江板块结合带地质构造复杂,成矿条件优越,具备形成金矿的地质背景条件,是西藏最具潜力和规模巨大的贵金属成矿带.但由于该区地质工作程度较低和对成矿规律认识不清,至今没有一个可供开发的岩金矿产地.通过班公湖-怒江板块结合带砂金、岩金矿(化)点,地球化学异常和重砂异常的分布并进行控矿因子分析,建立了该带两种岩金遥感找矿模式,通过验证发现该区具有大型远景规模的岩金矿产地,并认为蚀变岩型金矿和穆龙套型金矿是该带最重要的两种矿床类型,具有巨大的找矿潜力.     

Automatic techniques for 3D reconstruction of critical workplace body postures from range imaging data

The paper shows techniques for the determination of structured motion parameters from range camera image sequences. The core contribution of the work presented here is the development of an integrated least squares 3D tracking approach based on amplitude and range image sequences to calculate dense 3D motion vector fields. Geometric primitives of a human body model are fitted to time series of range camera point clouds using these vector fields as additional information. Body poses and motion information for individual body parts are derived from the model fit. On the basis of these pose and motion parameters, critical body postures are detected. The primary aim of the study is to automate ergonomic studies for risk assessments regulated by law, identifying harmful movements and awkward body postures in a workplace.     

利用LS_AR模型对极移参数的中长期预报

为了满足深空探测器自主导航定位对极移参数中长期预报的需求,阐述了基于LS_AR模型的极移参数中长期预报和精度评定的原理,提出了4种改进方案对LS_AR模型的构建进行优化,并利用IERS提供的1990～1996年的极移参数的时间序列检验4种优化方案,得到了最优的预报模型,在400 d跨度上,其预报结果的平均绝对误差比未优化的模型小3 mas左右。     

Development of a GIS data model with spatial,temporal and attribute components based on object-oriented approach

This paper presents a conceptual data model, the STA-model, for handling spatial, temporal and attribute aspects of objects in GIS. The model is developed on the basis of object-oriented modeling approach. This model includes two major parts: (a) modeling the signal objects by STA-object elements, and (b) modeling relationships between STA-objects. As an example, the STA-model is applied for modeling land cover change data with spatial, temporal and attribute components.     

The hypermedia data model based on the infinity image

This paper presents the hypermedia data model based on the infinity RS image information system we have developed. The hypermedia data model consists of different semantic units called nodes, and the associations between nodes are called links. This paper proposes three kinds of nodes (interior node, physical node and complex node) and two kinds of links (plane network structure link, hyper-cube network structure links). The hypermedia information system, based on the model and the basic data layer (the infiniy RS image), represents a digital globe. An approach to the “Getting Lost in the Hyper-space” problem is presented. The approach using the hypermedia data model is an efficient way of handling a large number of RS images in various geographical information systems.     

Spatio-temporal data model based on relational database system

In this paper, the entity-relation data model for integrating spatio-temporal data is designed. In the design, spatio-temporal data can be effectively stored and spatiao-temporal analysis can be easily realized.     

利用经验模态分解的侧扫声纳噪声抑制方法

针对海道测量中侧扫声纳声强数据中的噪声问题,分析侧扫声纳海底杂波的统计模型,提出基于ping数据的经验模态分解抑制噪声方法。结果表明,从ping声强数据中减掉周期小于4的模态后,声强数据可较好地服从Gamma分布,并保持声图中的细节信息。