植被生态遥感参数定量反演研究方法进展

植被参数是生态遥感定量反演的热点和难点,也是生态系统研究的基础性参数。本文在广泛阅读国内外公开发表的文献资料基础上,将现有的植被生态遥感参数概括为物理类、生化组分类、能量和功能类3大类,系统梳理了每类参数定量反演的主要模型方法,进行优缺点和适用性分析,对现阶段存在的不足和未来发展趋势进行了探讨。物理类植被生态遥感参数主要介绍了植被覆盖度、生物量、叶面积指数、树高等研究进展,生化组分类植被生态遥感参数主要介绍了植被含水量、叶绿素含量和光合能力等研究进展,能量类植被生态遥感参数介绍了光合有效辐射、植被吸收光合有效辐射等研究进展,功能类植被生态遥感参数主要介绍了植被生产力和碳交换量等研究进展。存在的主要问题包括混合像元分解、病态反演、物理模型应用过程中的误差传递、数据融合的尺度效应和空间变异性、模型耦合的最优方案确定问题。     

InSAR技术支持下的高速铁路沿线沉降监测与预测

针对盘营铁路专线、哈大铁路专线沿线沉降监测研究较少,采用InSAR技术获取了研究区地表形变信息,还对其进行了相关分析.用SBAS-InSAR对35景Sentinel-1A SAR数据进行处理,获取VV、VH极化下的年均沉降速率及沉降序列;以年均沉降速率为研究对象,进行沿线沉降特征分析及交叉验证;利用小波变换对沉降序列降噪处理,用改进BP神经网络对降噪后沉降序列预测分析.研究结果表明,研究区内高速铁路沿线共监测出6个明显沉降区域,最大沉降速率达50mm/a;两种极化年均沉降速率具有较高的一致性,降噪处理后的沉降序列更加平滑;改进BP神经网络具有较高的收敛速度,其预测精度有较大提高.     

融合纹理信息的实景三维模型简化算法

针对二次误差测度(QEM)网格简化算法难以保留局部细节特征的缺点,该文提出了一种融合纹理信息的网格简化算法.该算法通过高斯滤波和拉普拉斯运算对纹理贴图预处理来获取像素点的纹理高低值,并以此改变边折叠代价来优化简化效果,从而有效保留三维网格模型的细节特征,助于多层次细节特征等后续操作.该文依据倾斜摄影获取影像构网生成的三维网格数据为试验数据,采用该文算法进行试验,并与传统QEM算法比较.结果表明,该文算法简化效率及简化精度均高于QEM算法.     

湖北交通运输大数据存储应用平台设计与实现

针对当前湖北省交通运输数据的存储管理与应用瓶颈,结合目前大数据技术的发展背景,本文基于Hadoop生态体系设计与实现了针对湖北交通运输业务的大数据存储分析平台。文中从总体架构、存储结构、扩展架构、数据接入与治理、分布式任务调度的设计实现到平台的应用场景进行了论述,并使用10年的高速公路数据与具体业务场景对平台进行了存储与效率实验。实验结果表明,相比传统关系型数据库,该平台在数据存储、查询计算方面均具有非常明显的优越性。     

基于罗德里格矩阵的三维坐标转换方法

采用罗德里格矩阵公式,在不考虑尺度因子的情况下,建立了基于罗德里格矩阵的六参数坐标转换模型,推导了高精度参数初值计算方法,最小二乘迭代法平差公式。通过实测数据验证,通过实测数据计算,表明该算法具有精度高、稳定性强、适用性广等优点。     

河南省内乡县银洞沟银金多金属矿成矿年龄: 热液锆石LA-MC-ICP-MS U-Pb测年

北秦岭构造带广泛发育与古生代洋壳俯冲和碰撞造山有关的岩浆活动以及与造山过程有关的变质作用,但古生代热液脉型矿床在北秦岭构造带少见报道。银洞沟银金多金属矿为北秦岭构造带东部的一处中型热液脉型矿床,本文通过对该矿床赋矿围岩和含矿石英脉中锆石开展LA- MC- ICP- MS U- Pb测年和锆石成因研究,确定了矿床的形成时代,并探讨了矿床的成矿动力学背景。结果表明赋矿围岩黑云母二长花岗岩的形成时代为431. 4±2. 1 Ma,含矿石英脉中锆石结晶年龄为419. 4±5. 9 Ma,石英脉中锆石的岩相学、锆石中矿物和流体包裹体及锆石微量元素研究表明419. 4 Ma代表矿床的形成时代。结合前人的研究结果,确定银洞沟银金多金属矿为形成于晚志留世的造山型矿床,成矿作用与碰撞期后～420 Ma的变质作用密切相关,成矿流体来源于地层的变质脱水,成矿物质主要来源于秦岭岩群和二郎坪群。     

基于OpenCV和ArcGIS Engine的墙体中线自动提取在不动产测绘中的应用

在不动产测绘业务中,无论是房产预测绘还是实测绘,内业过程中都需要基于建筑单体的CAD电子图纸来获取墙体中线.传统的做法是利用AutoCAD软件的标注功能来逐边画取,这种做法的优点是画取的边线精度较高,但效率低下,占据了房产测绘内业的大部分工作量.为提高房产测绘内业的作业效率,本文采用二值化、骨骼化等算法,基于OpenCV和ArcGIS Engine技术,实现了CAD墙体中线的自动提取,对不动产测绘内业的作业流程进行了优化.实验结果表明,本文采用的方法在不动产测绘内业生产中具有一定的实用价值.     

基于惯性系原理的动基座粗对准及其性能影响因素分析

捷联惯导系统(strapdown inertial navigation system,SINS)在进行导航解算前需要粗对准提供初始姿态角,载体受多种因素影响和制约,在微幅晃动或运动状态下,需要进行动基座粗对准.从惯性系对准原理出发,讨论了基于比力和速度矢量的两种动基座粗对准解算方案,分析了位置误差、速度误差、杆臂误差对动基座粗对准的影响.结果表明,惯性系对准方法能够满足SINS粗对准的要求,速度误差和杆臂误差是制约对准精度与速度的主要因素,机动性强的轨迹能够加快对准速度,基于速度矢量的解算方案能够有效减弱姿态角收敛过程中的抖动,以提高对准效率.     

Cluster analysis on the bulk elemental compositions of Antarctic stony meteorites

Remote sensing observations by recent successful missions to small bodies have revealed the difficulty in classifying the materials which cover their surfaces into a conventional classification of meteorites. Although reflectance spectroscopy is a powerful tool for this purpose, it is influenced by many factors, such as space weathering, lighting conditions, and surface physical conditions (e.g., particle size and style of mixing). Thus, complementary information, such as elemental compositions, which can be obtained by X‐ray fluorescence (XRF) and gamma‐ray spectrometers (GRS), have been considered very important. However, classifying planetary materials solely based on elemental compositions has not been investigated extensively. In this study, we perform principal component and cluster analyses on 12 major and minor elements of the bulk compositions of 500 meteorites reported in the National Institute of Polar Research (NIPR), Japan database. Our unique approach, which includes using hierarchical cluster analysis, indicates that meteorites can be classified into about 10 groups purely by their bulk elemental compositions. We suggest that Si, Fe, Mg, Ca, and Na are the optimal set of elements, as this set has been used successfully to classify meteorites of the NIPR database with more than 94% accuracy. Principal components analysis indicates that elemental compositions of meteorites form eight clusters in the three‐dimensional space of the components. The three major principal components (PC1, PC2, and PC3) are interpreted as (1) degree of differentiations of the source body (i.e., primitive versus differentiated), (2) degree of thermal effects, and (3) degree of chemical fractionation, respectively.     

Geochemical characterization of Archaean amphibolites from the eastern part of Anshan–Benxi iron producing area,northeastern China: implication for tectonic setting of BIFs

The Anshan–Benxi iron producing area, which is located at the northeastern margin of the North China Craton, is the main distribution area of Archaean BIFs in China. In their eastern part, including the Gongchangling and Waitoushan deposits, BIFs mainly are hosted in the Archaean middle Anshan Group. Amphibolites are widely distributed in the iron‐bearing rock series, reflecting the tectonic setting of BIFs. Amphibolites not only have MORB‐like compositional characteristics, but also have island arc‐like ones, and they are consistent with back‐arc basin basalts (BABB). In the study area, the protolith of amphibolites belongs to Okinawa‐type BABB; it indicates that tectonic setting of BIFs is the intra‐continental back‐arc basin. In the study area, the formation of sedimentary basins for BIFs had been associated with oceanic plate subduction. Amphibolites from Gongchangling deposit are characterized by relative enrichments in LILE and LREE, and depletions in HFSE. This indicates that they had a relatively large influence of subduction in their formation. Amphibolites from Waitoushan deposit are characterized by relative enrichments in LILE without conspicuous depletions in HFSE, indicating relatively low subduction rates. Copyright © 2015 John Wiley & Sons, Ltd.