基于连续帧间差分的抛弃式探头三维下沉运动处理方法研究

抛弃式探头由无人机装载,能够在较远目标区域和危险海域开展海洋水文环境剖面参数的测量。通过安装不同传感器,可以实现对温度、盐度的剖面测量,其深度的测量采用数学方法计算得到。针对双摄像机水箱实验获得的5个不同攻角实验结果,分析了常用的运动目标的检测方法,最终选择基于连续帧间差分法,确定探头的三维坐标位置,进而得到探头下沉运动的三维运动轨迹和速度曲线等信息。探头从水面释放后攻角在下沉过程中不断调整,改变运动姿态,同时伴随自身的旋转,抵消水平方向阻力作用,初始攻角产生的深度测量误差主要体现在加速过程,探头达到匀速运动后测量误差不变,在不考虑横流的情况下,探头最后以匀速垂直下落运动。     

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基于地磁与红外双模探测的海洋浮标预警系统设计

设计了一种基于地磁检测与红外感应相结合、可对浮标周围异常目标进行探测和预警的控制系统。系统采用芯片级的微型磁感线圈,以及高集成度、低功耗的数据采集与总线技术,通过探测船体磁性对地磁场的扰动,监测船舶对浮标的靠近;采用芯片级的热释电红外传感器,通过探测人体红外辐射,监测浮标在正常工作期间未知人员的入侵。系统的预警采用声光报警和图像远程传输相结合的方式,现场采集的图像数据经过压缩编码后通过无线数传电台发送至远程岸基监测站,实现海洋浮标的远程预警与现场取证功能。     

基于网格模板的最小欧式距离准则图像自动拼接技术

提出一种结合网格模板和最小欧式距离准则的图像自动拼接方法。方法选取图像重叠部分作为处理对象，运用边缘检测自动获取基准图像特征块，并提出基于网格模板的最小欧式距离准则用于计算匹配点，最后使用图像融合技术消除接缝。应用证明该方法拼接准确快速，实现简单，适合大部分图像拼接应用的需要。     

Lignin in marine environment and its analysis—A review

Lignin is a group of phenolic polymers which is abundant in the woody tissues of vascular plants,and is essentially absent from all other living organisms.It has therefore been accepted as a tracer for terrestrial organic carbon(TOC) in marine environment since the 1970s.Lignin polymers are not amenable to direct chemical analysis without prior isolation.This review focused on the methods of chemical decomposition,extraction,derivatization and detection of lignin in marine environment.We described and compared several chemical decomposition methods,including nitrobenzene oxidation,alkaline cupric oxide(CuO) oxidation and thermochemolysis,and detection methods such as gas chromatography(GC),gas chromatography-mass spectrometry(GC-MS),high performance liquid chromatography(HPLC) and so on.Possible improvement of lignin analysis and the application prospects of this tracer were also discussed.     

浅层地震反射在郧西盆地断层探测中的应用与研究

在前期详细地质调查的基础上,对郧西盆地进行针对性的浅层地震反射勘探,并利用地震发射结果来确定断层位置及构造特征。该研究对南水北调中线核心水源区地震安全系统的建设有一定意义。     

Landsat时序变化检测综述

时序变化检测已成为当前Landsat数据主流的变化检测方法。本文从检测算法对比、时序数据构建和精度评价等方面对Landsat时序变化检测进行回顾和评述,进而提出Landsat时序变化检测当前所存在的问题,及其所面临的挑战。Landsat时序变化检测算法可大致归纳为轨迹拟合法、光谱-时间轨迹法、基于模型的方法3大类,这些算法大多基于森林扰动提出;变化检测常用指标有波段型、植被指数型、线性变换型、组合型4大类,每类指标的优势不同,可综合多类指标以更全面地检测不同扰动类型。尽管Landsat时序变化检测已取得长足发展,但仍然面临诸多挑战,其中最大挑战是缺少一致性的参考数据集进行变化检测精度评价。     

基于对比度增强和形态学的遥感影像道路提取

提出了一种基于对比度增强和形态学的遥感影像道路边界与特征点提取的方法。先对遥感影像进行对比度变换增强,通过对比分析直方图均衡化和对比度分段线性增强两种方法获取的增强影像,选取区分度大的分段线性增强方法进行影像增强,然后运用数学形态法进行影像分割,实现道路和其他图像信息的有效分离。利用Krisch算子进行边缘检测提取道路的边缘信息,并基于边缘特征利用改进的Harris算子提取特征点,将提取的特征点进行拟合并用函数模型描述图像道路信息,用于后期制图中道路信息的矢量化。     

激光雷达测量技术在地学中的若干应用

对激光雷达测量技术在全球冰川监测、局部断裂带提取、滑坡监测和稳定性评价以及海岸线提取和海岸侵蚀等方面的应用做了较为全面的综述.作为一种新型的对地观测手段,激光雷达(含星载、机载、车载和地面)的应用已经从传统的测绘扩大到包括文物保护在内的诸多其他应用领域.所综述的激光雷达技术在地学研究中的4个应用方面,是传统地学研究中与全球变化和人居环境最为密切的方向.分析表明,激光雷达技术在这些研究方向中的应用大有作为.      

An Extended Minimum Spanning Tree method for characterizing local urban patterns

Detailed and precise information on urban building patterns is essential for urban design, landscape evaluation, social analyses and urban environmental studies. Although a broad range of studies on the extraction of urban building patterns has been conducted, few studies simultaneously considered the spatial proximity relations and morphological properties at a building-unit level. In this study, we present a simple and novel graph-theoretic approach, Extended Minimum Spanning Tree (EMST), to describe and characterize local building patterns at building-unit level for large urban areas. Building objects with abundant two-dimensional and three-dimensional building characteristics are first delineated and derived from building footprint data and high-resolution Light Detection and Ranging data. Then, we propose the EMST approach to represent and describe both the spatial proximity relations and building characteristics. Furthermore, the EMST groups the building objects into different locally connected subsets by applying the Gestalt theory-based graph partition method. Based on the graph partition results, our EMST method then assesses the characteristics of each building to discover local patterns by employing the spatial autocorrelation analysis and homogeneity index. We apply the proposed method to the Staten Island in New York City and successfully extracted and differentiated various local building patterns in the study area. The results demonstrate that the EMST is an effective data structure for understanding local building patterns from both geographic and perceptual perspectives. Our method holds great potential for identifying local urban patterns and provides comprehensive and essential information for urban planning and management.