内核地球的自转运动和地球固定参考系的研究

本文研究了内核地球模型下的地球表面的旋转运动和地球形变场的复数矢量球函数表示,以及外壳固定参考架、地球参考系的理论定义和它们之间等价性的理论证明.同时给出了液体外核（FOC）、固体内核（SIC）和整体地球的转动惯量张量和角动量的具体表达式.在考虑到引潮力位对地球形变场的影响下,研究了地幔相对角动量的具体表述.本文的工作是对前人有关理论的扩展和改进,对进一步研究内核地球自转的动力学理论是非常重要的.     

Runout analysis of a large rockfall in the Dolomites/Italian Alps using LIDAR derived particle sizes and shapes

LiDAR data were used to quantify and analyse a rockfall event which occurred in 2003 in the Western Dolomites (Italian Alps). In addition to previously existing airborne laserscanning (ALS) data, high resolution terrestrial laserscanning (TLS) data were collected. By using the original point clouds, the volume, axial ratio and runout length of single boulders as well as the surface roughness in the runout zone of the rockfall were derived. The total volume of the rockfall event of approximately 10 000 m³ was estimated by a reconstruction of the pre‐event surface at the detachment zone. The analysis of the laser scanning data of the accumulation zone revealed a power law scaling for boulder volumes larger than 8 m³. The dependence of runout length on boulder volume is complex; it is moderated by particle sphericity. In addition, we used ALS and TLS data to derive the spatial distribution of surface roughness on the talus cone. TLS allow for more accurate roughness mapping than ALS data, but for most applications the point density of ALS data seems to be sufficiently high to derive measures of roughness. Different sampling approaches for plane fitting on the scale of 5 m did not show significant effects besides the computational time. The results of our analyses provide important perspectives for rockfall modelling and process understanding with potential applications in both ‘applied’ (natural hazards) and ‘pure’ geomorphological research. Copyright © 2012 John Wiley & Sons, Ltd.     

基于本体的网络地理空间数据集成

 随着地理数据深度、广度和复杂度的不断增加,如何集成这些在结构、语法及语义上高度异质性的需求越来越迫切。尽管XML在一定程度上解决了结构异质性问题,OGC标准规范解决了语法异质性问题,但语义异质性问题仍然成为分布式环境下地理空间数据集成与互操作的最大障碍。本文提出了一种基于本体的网络地理空间数据集成方法:以本体思想对数据进行语义组织;结合OGC网络服务标准规范对数据进行服务语义发布;利用支持双向映射的混合本体模式来解决全局本体与各应用本体之间的冲突,实现数据的语义集成。通过海洋海岸带土地利用数据集成试验表明,本文方法不仅能够克服数据间语义异质性问题,并在很大程度上屏蔽了数据底层集成的复杂环节,使得数据集成过程简单、高效。     

一种三维激光扫描点云拟合的抗差加权整体最小二乘法

针对三维激光扫描中点云不等精度且易受粗差影响的问题,提出了一种基于入射角定权的抗差加权总体最小二乘的拟合方法。该方法在采用入射角定权的基础上,进行基于标准化残差和中位数的抗差加权整体最小二乘估计,获得待定参数估值,并通过Gauss-Newton迭代算法,推导了模型的迭代计算方法。以平面拟合和球面拟合为例,分别通过仿真数据和实测数据对算法进行验证,结果表明,对于含有粗差的点云,新方法可以获得更为理想的参数估值,其性能优于抗差整体最小二乘和加权整体最小二乘,可以更好地进行三维激光扫描的点云拟合。     

基于语义描述的制造业Web服务合成研究

在因特网环境下,如何对服务描述是基于web服务的应用集成的关键问题之一。Web服务合成技术为这一问题提供了很好的解决方案。以基于语义的web服务合成理论为基础,在分析制造业信息资源特点的基础之上,以库存管理领域为应用实例,选取面向服务的网络本体语言提出了制造业web服务合成语义描述的一种方法。     

茂名油页岩沉积有机质特征及古气候意义

基于海洋沉积确定的始新世晚期至渐新世早期(约33.5 Ma)的气候过渡期是新生代全球性气候事件,但长期以来相关的陆相沉积记录研究则比较缺乏。本文对形成于始新世晚期至渐新世早期的茂名油柑窝组油页岩样品进行了有机质丰度、烃类组成、单体烃碳同位素组成等分析,以期研究低纬度陆相沉积有机质对古近纪始新世-渐新世气候过渡期(EOT)的响应。研究结果显示,埋藏较浅的上部层位样品正构烷烃碳同位素组成显著正偏,为-19.1‰~-25.9‰,平均值为-22.2‰;而下部层位样品正构烷烃碳同位素组成在-23.7‰~-30.2‰,平均值为-26.3‰。两个样品正构烷烃碳同位素组成之差在1.5‰~8.1‰,平均值之差为4.6‰。正构烷烃碳同位素组成的显著差异指示了EOT低纬度陆相古气候变化引起的陆相有机质响应,而这种响应与当时大气CO2浓度和海洋温度降低导致的气候和植物群落变化密切相关,即可能存在着C3植物向C4植物的转化、C4植物的迅速增加并最终导致沉积有机质碳同位素组成的变化;也可能是由于大气CO2浓度降低导致的大气CO2碳同位素组成整体正偏的结果。很显然,进一步详细的连续剖面分析将对研究古近纪EOT低纬度陆相古气候变化提供重要科学依据。     

地球参考系的基本理论和方法研究进展

地球参考系的研究无论在基础科学,还是在国民经济建设中都具有重要的意义。随着空间大地测量技术(VLBI、LLR、SLR和GPS等)的发展,对地球参考系也提出了越来越高的要求。本文详细地介绍了地球参考系的定义,建立和维持的基本理论与方法,综述了地球参考系目前的发展状况和存在的问题。本文可为从事地球参考系研究的学者提供一定的参考。     

天球参考系与地球参考系之间的坐标转换研究进展

天球参考系(CRS)与地球参考系(TRS)之间的坐标转换是天体测量学、大地测量学和地球物理学共同关注的研究领域,也是高精度的军事测绘保障和空间大地测量技术实现的理论基础。基于IAU2000的有关决议,重新研究了CRS和TRS之间转换的有关问题,主要内容包括:天球历书极(CEP)目前存在的问题和天球中间极(CIP)的引入;非旋转原点(NRO)、天球历书原点(CEO)和地球历书原点(TEO)的基本概念;基于春分点和NRO的坐标转换模型以及其中的有关参数的确定。本文完整地综述了CRS和TRS之间转换的理论,也指出了其中存在的问题和有待改进的地方。     

Fuzzy ontology-based foreshore identification from digital terrain models and very high-resolution airborne imagery through GEOBIA multi-scale analysis

ABSTRACT

Coastal mapping provides information for coastal zone protection. Land foreshore-border mapping is important, since it is related to land and property management, raising the need for an automated foreshore delineation framework. This research develops a multi-scale GEographic Object-Based Image Analysis method for foreshore identification from single-date very high-resolution imagery and DTM. Foreshore interpretation criteria were provided by the Greek Cadastral Office; however, they defined the foreshore-borders in an ill-defined manner. Thus, an ontology was designed and implemented to formalize the implicit spectral, geometric, and spatial relationships described in the interpretation criteria, and employ them during identification. The final ontology was delivered after three design phases: specification, conceptualization, and knowledge formalization. Imagery preprocessing through anisotropic morphological levelings reduced undesired spatial detail and noise. A three-level segmentation and ontological classification approach was developed to compute proper objects and assign them into semantic categories. Class definitions were created through fuzzy restrictions, representing value ranges of the employed properties. Evaluation of the extracted foreshore area with human-interpreted reference data showed a 77.9% quality, which was satisfactory. Evaluation by comparing the extracted foreshore border to the reference data showed an average deviation of 2.4 m, which is within Greek Cadastral Office specifications.