一种适用于视频全站仪的数码相机检校方法

直接线性变换法是相机检校中常用的一种方法,在此基础上提出一种可应用于视频全站仪的数码相机检校方法,通过改变像方元素的单位,就可不必考虑标准单位和像素单位间的转化因子问题。进一步讨论了像素尺寸大小对系统误差的影响,并对像素大小的必要测定精度进行了公式推导。试验结果表明,该方法可以获得较好的校准结果。     

电视测井中的图象处理问题

电视测井采集到的原始视频图象经过几何空间变换,图像象素重采样,最终生成可供地质分析解释的井壁表面图象文件。此外,必须动态识别指北针的图像以确定井下探头的方位,并以识别的北方位为起点守成图象的几何空间变换。基于井场施工效率和井下探头的安全原因,探头井中以４ｃｍ／ｓ左右的速度下落,图像处理过程必须与探的落保持同步,因而还具有一定程度的实时性要求。     

Same space – different perspectives: comparative analysis of geographic context through sketch maps and spatial video geonarratives

ABSTRACT

The importance of including a contextual underpinning to the spatial analysis of social data is gaining traction in the spatial science community. The challenge, though, is how to capture these data in a rigorous manner that is translational. One method that has shown promise in achieving this aim is the spatial video geonarrative (SVG), and in this paper we pose questions that advance the science of geonarratives through a case study of criminal ex-offenders. Eleven ex-offenders provided sketch maps and SVGs identifying high-crime areas of their community. Wordmapper software was used to map and classify the SVG content; its spatial filter extension was used for hot spot mapping with statistical significance tested using Monte Carlo simulations. Then, each subject’s sketch map and SVG were compared. Results reveal that SVGs consistently produce finer spatial-scale data and more locations of relevance than the sketch maps. SVGs also provide explanation of spatial-temporal processes and causal mechanisms linked to specific places, which are not evident in the sketch maps. SVG can be a rigorous translational method for collecting data on the geographic context of many phenomena. Therefore, this paper makes an important advance in understanding how environmentally immersive methods contribute to the understanding of geographic context.     

GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters

This article introduces a software package named GeoSurveillance that combines spatial statistical techniques and GIS routines to perform tests for the detection and monitoring of spatial clustering. GeoSurveillance provides both retrospective and prospective tests. While retrospective tests are applied to spatial data collected for a particular point in time, prospective tests attempt to incorporate the dynamic nature of spatial patterns via analyzing time-series data to detect emergent clusters as quickly as possible. This article will outline the structure of GeoSurveillance as well as describe the statistical cluster detection methods implemented in the software. It concludes with an illustration of the use of the software to analyze the spatial pattern of low birth weights in Los Angeles County, California.      

HiPAP100水下定位系统在海底摄像中的应用

分析了HiPAP100高精度声学定位系统及其水下定位原理,阐述了影响水声传播的因素及HiPAP100的解决办法,介绍了水下定位系统在我国海洋区域地质调查海底摄像测站作业中的应用,分析比较海底摄像常规定位与HiPAP100超短基线的定位精度,说明水下定位在海底摄像等水下拖曳和定点作业中的必要性和重要性。     

浅地层剖面在富钴结壳调查研究中的应用

文中以Topas PS018系统为例简要介绍浅地层剖面仪的工作原理和系统组成,重点介绍浅地层剖面在大洋富钴结壳资源调查研究中的应用情况。浅地层剖面资料与联合作业的海底视像、岩芯取样等资料进行对比和分析,发现浅地层剖面能够有效识别基岩、板状结壳、砾状结壳、砂、沉积物等不同底质类型,对浅地层剖面资料进行深入挖掘能够提取出富钴结壳矿区界线信息。     

Mapping spatiotemporal patterns of events using social media: a case study of influenza trends

Tracking spatial and temporal trends of events (e.g. disease outbreaks and natural disasters) is important for situation awareness and timely response. Social media, with increasing popularity, provide an effective way to collect event-related data from massive populations and thus a significant opportunity to dynamically monitor events as they emerge and evolve. While existing research has demonstrated the value of social media as sensors in event detection, estimating potential time spans and influenced areas of an event from social media remains challenging. Challenges include the unstable volumes of available data, the spatial heterogeneity of event activities and social media data, and the data sparsity. This paper describes a systematic approach to detecting potential spatiotemporal patterns of events by resolving these challenges through several interrelated strategies: using kernel density estimation for smoothed social media intensity surfaces; utilizing event-unrelated social media posts to help map relative event prevalence; and normalizing event indicators based on historical fluctuation. This approach generates event indicator maps and significance maps explaining spatiotemporal variations of event prevalence to identify space-time regions with potentially abnormal event activities. The approach has been applied to detect influenza activity patterns in the conterminous US using Twitter data. A set of experiments demonstrated that our approach produces high-resolution influenza activity maps that could be explained by available ground truth data.     

Comparison of Microphysical Characteristics Between Warm-sector and Frontal Heavy Rainfall in the South of China

During the April-June raining season,warm-sector heavy rainfall(WR) and frontal heavy rainfall(FR) often occur in the south of China,causing natural disasters.In this study,the microphysical characteristics of WR and FR events from 2016 to 2022 are analyzed by using 2-dimensional video disdrometer(2DVD) data in the south of China.The microphysical characteristics of WR and FR events are quite different.Compared with FR events,WR events have higher concentration of D<5.3 mm(especially D <1 ...     

基于视频流的兴趣点采集系统的实现

系统的采集端运行在搭载Android系统的平板上,使用Esri公司发布的ArcGIS for Android二次开发而成。数据处理端运行在PC端,使用Esri公司的ArcGIS for Engine构建。采集人员可以使用采集端快速录制视频或拍照进行数据采集,数据处理人员使用数据处理端导入采集端采集的数据进行处理获取最终的成果。结果表明:相对于传统的兴趣点采集技术,使用本系统不仅能提高采集效率,而且能有效地降低采集成本。     

双线偏振雷达数字视频积分处理器

在双线偏振雷达试制过程中,其视频积分处理器(DVIP)不同于常规雷达的DVIP。即将常规雷达峰值采样的DVIP改为具有距离、方位双重积分的多点采样智能化的DVIP,以减小脉动,提高被测对象的稳定性。本文介绍了双线偏振DVIP的组成方式、特点及工作原理。