我国西部1∶5万地形图空白区地物解译研究——以西藏那曲其香错地区为例

我国西部部分地区1∶5万地形图数据尚未完成,给区域和国家经济发展带来极大不便。空间技术、计算机技术和信息技术的高速发展为遥感技术应用提供了技术支持,高分辨率影像获取能力的提高为大比例尺地物特征的提取提供了数据可能。本文采用SPOT5遥感影像,以1∶5万地形图图式标准为依据,进行青藏高原其香错地区地物判读,结果表明SPOT5能基本满足1∶5万地形图制图要求。为进一步提高判读结果,可采用多时相、多分辨率影像进行1∶5万地形图地物判读。     

基于点重要度的地形LOD简化算法及精度

在分析、讨论目前关于3维地形模型简化与误差控制方法的基础上,提出了一种基于点重要度进行连续LOD模型简化的算法.并以5种典型地貌的实验数据作为运行实例,给出了点重要度与地貌类型之间的精度关系.这为今后连续LOD模型的合理建立提供了一种新思路和方法,也为模型的简化提供了科学依据.     

纹理映射失真处理中的LOD技术

纹理映射是计算机图形学中广泛应用的一项重要技术,纹理图像可以描述景物表面各点处的反射属性,模拟景物表面丰富的纹理细节,减少建模的工作量,提高计算机生成图形的真实性.但是由于纹理都为栅格图像,放大和缩小会产生一定程度的失真,所以要对纹理进行细节分层处理.文中主要介绍纹理的重采样和建立金字塔技术,提出减少纹理映射失真的方法.     

东准噶尔纸房地区晚石炭世巴塔玛依内山组陆相火山-沉积体系特征

东准噶尔巴塔玛依内山组是典型陆相火山．沉积体系(盆地)，主体由基性及中酸性火山熔岩组成，火山碎屑岩及火山碎屑沉积岩较少，通过对纸房地区晚石炭世巴塔玛依内山组陆相火山岩的岩石化学、地球化学特征进行系统研究，认为它属于造山期后固结初期，新陆壳裂谷向高原火山岩演化的同岩浆源、同沉积盆地、同火山作用的钙碱系列双峰式火山岩．     

C1相干算法及其在三维地震资料处理解释中的应用

C1相干算法是计算每道的横测线和相邻纵测线的互相关，依据相干值来判断地层和岩性的横向不均匀性。根据互相关原理，提出了相干体算法中二维和三维C1算法的内容及其具体实现。通过对实际三维地震资料的处理，结合已知地质资料，证明C1相干技术在三维地震资料的断层解释方面有着明显的效果。     

Geometry and accuracy of reflecting points in bistatic satellite altimetry

The analysis of the time and space distribution of specular (reflecting) points in bistatic altimetry between GPS and CHAMP satellites or SAC-C (taken as examples) is extended from Wagner and Klokočník (2003 J. Geod 77: 128–138). We demonstrate a significantly higher number and density of reflecting points in bistatic altimetry in comparison with traditional monostatic altimetry. After an outline of our older accuracy assessment for the vertical position of the reflecting point, we add a new independent derivation and compare both approaches. We account for orbit errors of both the transmitters (GPS) and receiver (CHAMP) satellites, and the measurement (delay) error. We found that the accuracy of the vertical position of the reflecting point decreases only slowly with increasing off-nadir angle and that the orbit errors must be accounted for if decimeter and better accuracy is required. In this paper, we do not study errors such as state of the ocean, technical parameters of the receiving system, and atmospheric corrections.     

Spatial process and data models: Toward integration of agent-based models and GIS

The use of object-orientation for both spatial data and spatial process models facilitates their integration, which can allow exploration and explanation of spatial-temporal phenomena. In order to better understand how tight coupling might proceed and to evaluate the possible functional and efficiency gains from such a tight coupling, we identify four key relationships affecting how geographic data (fields and objects) and agent-based process models can interact: identity, causal, temporal and topological. We discuss approaches to implementing tight integration, focusing on a middleware approach that links existing GIS and ABM development platforms, and illustrate the need and approaches with example agent-based models.     

Outlier detection algorithms and their performance in GOCE gravity field processing

The satellite missions CHAMP, GRACE, and GOCE mark the beginning of a new era in gravity field determination and modeling. They provide unique models of the global stationary gravity field and its variation in time. Due to inevitable measurement errors, sophisticated pre-processing steps have to be applied before further use of the satellite measurements. In the framework of the GOCE mission, this includes outlier detection, absolute calibration and validation of the SGG (satellite gravity gradiometry) measurements, and removal of temporal effects. In general, outliers are defined as observations that appear to be inconsistent with the remainder of the data set. One goal is to evaluate the effect of additive, innovative and bulk outliers on the estimates of the spherical harmonic coefficients. It can be shown that even a small number of undetected outliers (<0.2 of all data points) can have an adverse effect on the coefficient estimates. Consequently, concepts for the identification and removal of outliers have to be developed. Novel outlier detection algorithms are derived and statistical methods are presented that may be used for this purpose. The methods aim at high outlier identification rates as well as small failure rates. A combined algorithm, based on wavelets and a statistical method, shows best performance with an identification rate of about 99%. To further reduce the influence of undetected outliers, an outlier detection algorithm is implemented inside the gravity field solver (the Quick-Look Gravity Field Analysis tool was used). This results in spherical harmonic coefficient estimates that are of similar quality to those obtained without outliers in the input data.     

油田污水中Fe2+,S2-,DO及pH值对HPAM-酚醛CDG成胶性能影响的研究

在对河南油田双河矿区油田污水进行全分析的基础上，研究了污水中Fe^2 ,S^2-，溶解氧（DO）及污水的pH值对有机交联体系聚丙烯酰胺（HPAM）－酚醛胶态分散凝胶（CDG）成胶性能的影响。研究结果表明，Fe^2 ,S^2－，DO及污水的pH值对HPAM－酚醛体系的成胶性能都有影响当ρ（Fe^2 )=1.6mg/L,ρ（S^2-)=0.1mg/L,ρ（DO）=1.6mg/L，HPAM－酚醛体系就不能成胶；随着污水pH值的增大，CDG强度变弱。     

基于GM(1,1)优化模型的岩石边坡变形预报

岩石边坡系统是一典型灰色系统，其变形发展过程可以用灰色预测模型完成。尽管传统GM（1，1）模型预测有很多成功的实例，但是也存在一些预测偏差过大的情况，必须对其进行优化。逐步迭代法GM（1，1）模型不仅收敛速度快，而且与原始数据库序列的凹凸性保护一致。利用自编的计算程序对马步坎边坡预测测点G1沉降和开裂进行预测分析，结果表明逐步迭代法GM（1，1）优化模型计算精度较传统GM（1，1）模型和背景构造法GM（1，1）优化模型高，较好地反映了岩石边坡的变形趋势。