一种采用基础矩阵描述的核线影像生成方法

设计了一种采用基础矩阵的立体像对核线影像制作方法,由基础矩阵来描述影像间的相对方位关系,避免了相对定向过程中复杂的迭代过程。通过稀疏匹配获取高精度的同名点,由基础矩阵确定每组同名点对应的同名核线,根据核线必相交于核点的原理,采用最小二乘法确定左右影像的核点坐标;然后根据核点坐标完成影像间核线的快速映射,沿核线方向采用双线性内插法进行核线重采样,完成核线影像制作。采用多组影像进行核线影像制作实验,对生成的核线影像进行同名特征点提取与匹配,结果表明采用该方法制作的核线影像上下视差较小,验证了方法的有效性。     

Significance of shallow core transects for reef models and sea‐level curves,Heron Reef,Great Barrier Reef

A sequence of shallow reef cores from Heron Reef, Great Barrier Reef, provides new insights into Holocene reef growth models. Isochron analysis of a leeward core transect suggests that the north‐western end of Heron Reef reached current sea‐level by ca 6·5 kyr bp and then prograded leeward at a rate of ca 19·6 m/kyr between 5·1 kyr and 4·1 kyr bp (pre‐1950) to the present reef margin. A single short core on the opposing margin of the reef is consistent with greater and more recent progradation there. Further to the east, one windward core reached modern sea‐level by ca 6·3 kyr bp , suggesting near ‘keep‐up’ behaviour at that location, but the opposing leeward margin behind the lagoon reached sea‐level much more recently. Hence, Heron Reef exhibited significantly different reef growth behaviour on different parts of the same margin. Mean reef accretion rates calculated from within 20 m of one another in the leeward core transect varied between ca 2·9 m and 4·7 m/kyr depending on relative position in the prograding wedge. These cores serve as a warning regarding the use of isolated cores to inform reef growth rates because apparent aggradation at any given location on a reef varies depending on its location relative to a prograding margin. Only transects of closely spaced cores can document reef behaviour adequately so as to inform reef growth models and sea‐level curves. The cores also emphasize potential problems in U‐series dates for corals within a shallow (ca 1·5 m) zone beneath the reef flat. Apparent age inversions restricted to that active diagenetic zone may reflect remobilization and concentration of Th in irregularly distributed microbialites or biofilms that were missed during sample vetting. Importantly, the Th‐containing contaminant causes ages to appear too old, rather than too young, as would be expected from younger cement.     

电感耦合等离子体质谱法测定铅合金中的微量杂质元素镉和锡

铅合金中的镉和锡由于含量较低,国家标准方法均为单一元素分析,步骤繁琐,检出限高,难以达到理想的检出要求。本文建立了应用电感耦合等离子体质谱法(ICP-MS)测定铅合金中微量级(μg/g级)杂质元素镉和锡的分析方法。采用单一的低浓度硝酸溶解铅合金,用低温慢溶的方式使样品溶解更加完全,减少了多离子对仪器的干扰;通过铅基体匹配和加入酒石酸保证了标准与样品介质的一致性,同时避免了锡的水解;以~(103)Rh作为内标元素,~(111)Cd和~(118)Sn作为测量同位素克服了质谱干扰。方法检出限为镉0.05 ng/g、锡0.04 ng/g,比国家标准方法的检出限(1~6μg/g)低,精密度小于4%。该方法试剂用量少,减少了处理样品的复杂性,实现了合金中微量级元素的准确测定。     

三塘湖盆地石炭系卡拉岗组火山岩岩相研究

三塘湖盆地石炭系卡拉岗组火山岩岩性揭示该区火山岩岩相主要包括火山爆发相、溢流相,火山沉积相不发育。为了明确不同岩相分布规律,本文系统利用测井、地质、地震等多种资料,建立测井岩性识别模板,以单井相作为约束,开展地震反演,明确火山岩岩相的平面分布规律。研究结果表明:该区火山喷发方式以裂隙式为主,火山口呈串珠状沿主断裂排列;溢流相平面呈层状分布,溢流相安山岩最为发育。研究结果可有效指导该区火山岩油藏的勘探评价工作,同时为火山岩岩相研究提供可借鉴的研究思路。     

绿柱石与硅铍石原位结晶实验研究

绿柱石与硅铍石均为铍矿物家族中的主要成员,是重要的工业铍矿物,利用背散射和电子探针研究矿物特性时,常可见两者共生或发生交代的现象（饶灿,2009;Reyf, 2008; Evensen, 1999）,其结晶条件对于成矿环境与成矿机制均具有重要的指示意义。前人已进行了关于绿柱石,硅铍石等铍矿物稳定性的实验研究,但研究多采用高温淬火的高温高压实验装置,误差大,且无法原位观测矿物结晶习性（王振杰, 1992;Sirbescu et al., 2009）,本文利用热液金刚石压腔,原位观测了绿柱石与硅铍石的结晶过程,得到了它们结晶的温压条件及结晶习性。     

Operational climate prediction in the era of big data in China: Reviews and prospects

Big data has emerged as the next technological revolution in IT industry after cloud computing and the Internet of Things. With the development of climate observing systems, particularly satellite meteorological observation and high-resolution climate models, and the rapid growth in the volume of climate data, climate prediction is now entering the era of big data. The application of big data will provide new ideas and methods for the continuous development of climate prediction. The rapid integration, cloud storage, cloud computing, and full-sample analysis of massive climate data makes it possible to understand climate states and their evolution more objectively, thus predicting the future climate more accurately. This paper describes the application status of big data in operational climate prediction in China; it analyzes the key big data technologies, discusses the future development of climate prediction operations from the perspective of big data, speculates on the prospects for applying climatic big data in cloud computing and data assimilation, and puts forward the notion of big data-based super-ensemble climate prediction methods and computerbased deep learning climate prediction methods.     

执行器退化的遥机器人系统量化反馈容错控制

针对遥机器人系统中存在执行器退化、控制输入量化,且编、解码端的量化灵敏度参数不匹配的问题,设计了遥机器人系统的鲁棒量化反馈容错控制系统.控制器结构的线性部分由线性矩阵不等式给出,旨在解决系统指标性能问题,非线性部分则用于处理量化参数不匹配问题.经稳定性理论证明,提出的鲁棒量化反馈容错控制方法能消除执行器退化及量化参数不匹配等的影响,并确保从机器人能渐近跟踪主机器人.最后,算例仿真验证了方法的有效性.