Research of Marine Sensor Web Based on SOA and EDA

A great deal of ocean sensor observation data exists, for a wide range of marine disciplines, derived from in situ and remote observing platforms, in real-time, near-real-time and delayed mode. Ocean monitoring is routinely completed using sensors and instruments. Standardization is the key requirement for exchanging information about ocean sensors and sensor data and for comparing and combining information from different sensor networks. One or more sensors are often physically integrated into a single ocean ‘instrument' device, which often brings in many challenges related to diverse sensor data formats, parameters units, different spatiotemporal resolution, application domains, data quality and sensors protocols. To face these challenges requires the standardization efforts aiming at facilitating the so-called Sensor Web, which making it easy to provide public access to sensor data and metadata information. In this paper, a Marine Sensor Web, based on SOA and EDA and integrating the MBARI's PUCK protocol, IEEE 1451 and OGC SWE 2.0, is illustrated with a five-layer architecture. The Web Service layer and Event Process layer are illustrated in detail with an actual example. The demo study has demonstrated that a standard-based system can be built to access sensors and marine instruments distributed globally using common Web browsers for monitoring the environment and oceanic conditions besides marine sensor data on the Web, this framework of Marine Sensor Web can also play an important role in many other domains' information integration.     

Abundance and Distribution of Fatty Acids in Sediments of the South Mid-Atlantic Ridge

Sediment samples obtained from the South Mid-Atlantic Ridge were studies by gas chromatography-mass spectrometer(GC-MS) for the abundance and distributions of total fatty acids(TFAs). Approximately 34 fatty acids were identified, with the chain-lengths ranging from C12 to C30. The total concentrations of TFAs(∑TFA) ranged from 7.15 to 30.09 μg g-1 dry sediment, and ∑TFA was weakly correlated with bitumen content(R2 = 0.69). The ∑TFA of samples around hydrothermal areas were significantly higher than that of samples away from hydrothermal areas, indicating intense primary production and large biomass in the hydrothermal areas, and suggesting a close relationship between hydrothermal activity and ∑TFA of samples. The characteristics of the TFA composition in the present study are rich in monounsaturated fatty acids and lacking in polyunsaturated fatty acids, and the ratios between the concentrations of monounsaturated fatty acids and ΣTFAs in samples close to the hydrothermal areas, are about 0.8, but for samples far from the hydrothermal areas, they are only about 0.5. Several fatty acids(e.g., a/i C15:0 and C16:1ω7), which are signature biomarkers for sulfur-metabolizing bacteria, show the same distribution trend as ∑TFA of samples, further highlighting the close relationship between fatty acid content and hydrothermal activity and/or hydrothermal communities. The metabolic activities of hydrothermal communities, especially those of microorganisms, are likely the main source of fatty acids in samples.     

结合张量与互信息的混合模型多模态图像配准方法

多模态图像之间存在显著的非线性强度差异,并且图像会因为噪声而退化,因此,多模态图像自动配准是一项具有挑战性的任务.为了解决这两个问题,本文提出一种多模态图像自动配准方法,该方法分为预配准和精配准两个阶段.在预配准阶段,通过改进SIFT算法来大致对齐多模态图像.在精配准阶段,首先,利用块Harri s检测器在预配准后的参考图上提取均匀分布的特征点.然后,通过各向异性结构张量捕捉多模态图像中的结构信息来构建特征描述符,该特征描述符对噪声具有稳健性.更进一步,本文结合张量方向平行度和梯度互信息提出了一种相似度准则(tensor orientation and mutual information,TOMI).最后,本文用多种模态图像(包括Optical,LiDAR,SAR和Map)来评估提出的方法.试验结果表明,本文提出的方法对非线性强度变化和噪声具有较好的稳健性,并且匹配效果优越.     

面向OBE的《海洋测绘》课程质量达成度评价方法构建及应用

构建合理课程质量评价体系是专业认证工作的一项重要内容,也是成果导向教育(Outcome Based Education,OBE)得以真正实施的基础保障.以江苏海洋大学国家一流专业测绘工程的《海洋测绘》课程为例,探讨了海洋测绘课程质量达成度综合评价方法,并结合实例进行应用分析.为课程质量达成度评价提供有效借鉴.     

地理信息云平台数据库架构探讨

本文从“一张图”概念入手,分析了地理信息云平台的作用和主要特点及分类,说明了地理信息云平台数据库内容、数据更新机制和方法,从数据应用角度讨论了地理信息云平台数据展示研究的必要性,并全面分析了地理信息云平台数据库体系架构和各类云平台之间的相互关系,探讨了地理信息云平台数据体系。     

面向复杂山地的机载LiDAR与无人机影像融合应用

本文针对LiDAR点云与无人机影像数据特征的优缺点,利用LiDAR点云与无人机DOM影像融合,将影像数据光谱信息赋给LiDAR点云数据,使其不仅具备精准的空间结构信息,还能得到清晰的纹理信息。为验证融合数据应用的可行性与数据提取的准确性,对融合前后的点云数据进行地面点提取与DEM构建。试验表明：将无人机影像的光谱信息赋给LiDAR点云数据,可以实现LiDAR点云数据从四维度表达到七维度的拓展,融合后点云数据具有清晰的纹理信息,地物类型判读更加容易,地面点分离完整;通过DEM模型的对比分析,融合后点云数据构建的DEM模型表达更加接近真实地表。研究结果为多源点云数据的深化应用提供了一定的技术方法支持作用。     

基于PPP-AR的组合高低频GNSS高层建筑动态监测

全球导航卫星系统(Global Navigation Satellite System,GNSS)技术应用于高层建筑动态监测具有其他传感器所不具备的独特优势.固定模糊度的精密单点定位(Precise Point Positioning-Ambiguity Reso-lution,PPP-AR)技术提高了单点定位的精度和可靠性.针对传统GNSS高层建筑动态监测方法的不足,提出了一种基于PPP-AR的组合高低频GNSS高层建筑动态监测新方法.基于高层建筑风振监测实验,将该方法与传统的差分定位方法、精密单点定位方法、加速度计方法进行对比分析.结果表明,新方法可以准确获取结构的似静态变形、振动变形以及结构的振动主模态信息.该方法既可以降低工程成本,又可以保障测量精度,具有良好工程应用价值.     

塔尔塔格铁矿床——新疆阿吾拉勒铁成矿带内首例IOA型铁矿床的厘定及意义

塔尔塔格铁矿是新疆西天山阿吾拉勒海相火山岩型铁成矿带内的一处中型铁矿床,其铁矿体呈透镜状产于粗安玢岩内顶部,在揭示海相火山岩中铁矿床与侵入岩关系方面具有重要意义。该铁矿床发育典型的磁铁矿 磷灰石组合,基本不含硫化物,矿石以似斑状、浸染状、球粒状和晶洞等构造类型为特色,磁铁矿内发育由条带状或叶片状钛铁矿和钛氧化物构成的出溶结构,并有少量的榍石、钍石、萤石等副矿物与之共生,矿床地质特征表明该矿床为典型的与富碱、中性侵入岩有关的IOA（iron oxide apatite）型铁矿床。该矿床围岩英安岩、赋矿粗安玢岩与成矿后正长花岗岩的锆石SHRIMP U Pb同位素加权平均年龄分别为311. 3±1. 4 Ma、304. 7±2. 9 Ma和301. 1±2. 8 Ma,铁矿石样品中与磁铁矿共生的榍石的LA ICP MS U Pb同位素加权平均年龄为302. 3±4. 0 Ma和303. 7±4. 2 Ma,成岩成矿年龄高度吻合,进一步确定其在晚石炭世晚期成矿。本文根据地质特征认为该矿床矿石是由粗安玢岩顶部富铁挥发分聚集而形成的,并初步提出“超浅成侵入岩顶部富挥发分囊体”成矿模型,即富碱、中性岩体超浅成侵位导致挥发分在岩体顶部迅速聚集形成多处富铁和挥发分的囊体,岩体冷凝固结的同时磁铁矿快速结晶成矿。塔尔塔格“IOA型”型铁矿的成因厘定,不仅表明海相火山岩型铁矿与IOA型铁矿可能存在成因联系,还暗示了海相火山岩型铁成矿带内具有寻找IOA型铁矿的潜力。     

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。     

一种多因子加权平均温度模型的构建方法

针对在地基GNSS水汽反演的过程中,天顶湿延迟转换为大气可降水量时如何建立精确的大气加权平均温度(Tm)模型的问题,该文在建立Tm模型前全面考虑了对Tm有显著影响的变量并选择最优回归子集。但分析发现,最优回归子集中各变量之间存在较强的相关性,这将会导致变量之间存在多重共线性,从而影响模型的稳定性和可靠性。选择2013—2015年相关气象数据作为变量并应用岭回归的方法削弱变量之间的多重共线性,建立稳定的多因子Tm回归模型。并利用该模型分别预测2016年1—12月、2019年1—7月的Tm,均方根误差分别为2.3 K和2.0 K,预测精度较高,这将为高精度的水汽反演奠定较好的数据基础。