数据融合技术在多源潮汐数据分析中的应用

为了充分利用现有潮汐数据以建立高精度的潮汐分析模型，在利用最小二乘法进行潮汐分析的基础上，将数据融合技术应用于具有多源潮汐数据的分析，提出潮汐数据的分类方法，建立了三种潮汐数据融合方案，推导了各种方案的数据融合公式，并分析了各种方案的特点及适用范围。     

泰山玉的基本特征及分类研究

泰山玉是蛇纹石质玉的一个新发现,该文主要阐述了泰山玉的成因及产出特征,根据分析测试结果,对泰山玉的矿物成分、化学成分、结构构造等基本特性进行了总结与归纳,并据此对泰山玉进行了初步分类。泰山玉可分为泰山碧玉、泰山墨玉、泰山翠斑玉、泰山紫金玉。     

对震后建筑物破坏和可用性分类标准参考的分析

简述了美日等6国专家编写组编写的震后结构破坏和可用性分类的方法及程序专题报告,对报告中分类法产生的思想、分类的依据以及编写城市抗震救灾规划的方法作了过去与现今对比的分析,希望能对汶川地震的重建工作提供一些参考价值。     

Water surface mapping from airborne laser scanning using signal intensity and elevation data

In recent years airborne laser scanning (ALS) evolved into a state‐of‐the‐art technology for topographic data acquisition. We present a novel, automatic method for water surface classification and delineation by combining the geometrical and signal intensity information provided by ALS. The reflection characteristics of water surfaces in the near‐infrared wavelength (1064 nm) of the ALS system along with the surface roughness information provide the basis for the differentiation between water and land areas. Water areas are characterized by a high number of laser shot dropouts and predominant low backscatter energy. In a preprocessing step, the recorded intensities are corrected for spherical loss and atmospheric attenuation, and the locations of laser shot dropouts are modeled. A seeded region growing segmentation, applied to the point cloud and the modeled dropouts, is used to detect potential water regions. Object‐based classification of the resulting segments determines the final separation of water and non‐water points. The water‐land‐boundary is defined by the central contour line of the transition zone between water and land points. We demonstrate that the proposed workflow succeeds for a regulated river (Inn, Austria) with smooth water surface as well as for a pro‐glacial braided river (Hintereisfernerbach, Austria). A multi‐temporal analysis over five years of the pro‐glacial river channel emphasizes the applicability of the developed method for different ALS systems and acquisition settings (e.g. point density). The validation, based on real time kinematic (RTK) global positioning system (GPS) field survey and a terrestrial orthophoto, indicate point cloud classification accuracy above 97% with 0·45 m planimetric accuracy (root mean square error) of the water–land boundary. This article shows the capability of ALS data for water surface mapping with a high degree of automation and accuracy. This provides valuable datasets for a number of applications in geomorphology, hydrology and hydraulics, such as monitoring of braided rivers, flood modeling and mapping. Copyright © 2009 John Wiley & Sons, Ltd.     

Using synoptic classification and trajectory analysis to assess air quality during the winter heating period in Ürümqi,China

Synoptic patterns identified by an automated procedure employing principal- component analysis and a two-stage cluster analysis, and backward trajectory analysis clustered by the HYSPLIT4.9 model were used to examine air quality patterns over¨ Uru¨mqi, China, one of the most heavily polluted cities in the world. Six synoptic patterns representing different atmospheric circulation patterns and air-mass characteristics were classified during the winter heating periods from 2001 to 2008, and seven trajectory clusters representing different paths of air masses arriving at ürümqi were calculated during the winter heating periods from 2005 to 2008. Then air quality was evaluated using these two approaches, and significant variations were found across both synoptic patterns and trajectory clusters. The heaviest air-pollution episodes occurred when ürümqi was either in an extremely cold, strong anticyclone or at the front of a migrating cyclone. Both conditions were characterized by with light winds, cold, wet surface air, and relatively dry upper air. ürümqi was predominately influenced by air masses from the southwest and from local areas. Air pollution index (API) levels were highest for air masses originating from the southwest with a longer path or for the local area, because of transport from semi-desert/desert regions by strong winds and because of local heavy pollution emissions, respectively. The interactions between these two analytical approaches showed that poor diffusion conditions, together with local circulation, enhanced air pollution, besides, regional air-mass transport caused by strong winds contributed to serious air quality under relatively good diffusion conditions.     

Study on strength reduction factors considering the effect of classification of design earthquake

Introduction The strength reduction factor is defined as the lateral yielding strength required to avoid yielding in the system when subjected to a given ground motion, to the lateral yielding strength required to maintain the displacement ductility ratio demand equal to a pre-determined target duc-tility ratio under the same ground motion. The strength reduction factors are not only the key fac-tors in determining seismic action for force-based seismic design, but also one of the key parame-t…     

结合纹理的SVM遥感影像分类研究

针对传统统计模式识别分类方法分类精度不高,分类时未加入像元灰度的空间分布和结构特征以及分类时样本不足等缺陷,采用一种结合纹理的支持向量机(SVM)遥感图像分类方法。该方法在对Landsat7 ETM遥感影像进行纹理特征提取的基础上,构建了结合纹理的SVM分类模型。以河南省汝阳县为试验区,利用此模型对该区域的土地利用类型进行分类研究,并将分类结果与最大似然法和单源数据(光谱)SVM分类结果进行定性和定量比较分析。研究结果表明:该方法能够有效地解决单数据源分类效果破碎、分类精度不高等问题;对高维输入向量具有较高的推广能力;总精度达到90%,比单源信息的SVM分类法提高了6%,而与最大似然法相比,总精度提高了近9%,取得了良好的效果。     

SPOT 5与ETM+影像融合用于土地调查

以SPOT 5及ETM 遥感影像为基础数据,通过对云南昆明郊区利用PCA法和Brovey法进行影像融合,使融合后影像同时具有多光谱特性和高分辨率,提高影像的解译度。并对融合后的影像进行分类及精度分析,讨论影像融合技术在土地调查中的应用。     

应用分水岭变换与支持向量机的极化SAR图像分类

结合分水岭变换与支持向量机的特性,提出一种新的极化SAR图像分类算法。其基本思想是先通过分水岭变换及区域合并处理,将极化SAR图像分割成一系列同质区;再以同质区为基本单元,进行特征提取及样本选择后采用支持向量机分类。实验结果表明,该算法可有效降低相干斑对分类的影响,与传统基于像素的SVM算法相比,其分类精度有显著的提高,且结果也更易于理解。     

无居民海岛功能定位初探

根据无居民海岛的自然属性和社会属性,考虑到海岛环境的特殊性、资源承载的有限性、空间开发功能的衍生性,以及与国家主体功能区规划和全国海洋功能区划的衔接性,从海岛开发适宜性和海岛可持续保护的角度,研究无居民海岛功能分类方法,构建海岛功能分类评价指标体系,确定海岛功能分类的适宜性评价因子及评价标准,并引入综合评判理论,量化指标因子,构建综合评判模型,在此模型的基础上,借助GIS技术实现无居民海岛功能定位。