基于Google Earth的遥感影像数据资料归档系统

将Google Earth应用于遥感影像数据资料归档系统中,是一种新的遥感资料归档方法,能将归档的成果文件整合,克服了传统归档方式不能快速查看数据效果、位置、属性信息的缺点,很好地适应了信息化工作程序对图像数据库的快速响应的要求.ARCGIS补充了Google Earth薄弱的空间分析功能.系统再联合EXCLE表件,方...     

Placemarks and waterlines: Racialized cyberscapes in post-Katrina Google Earth

Google Earth was released a few months prior to Hurricane Katrina and became an important tool in distributing information about the damage occurring in New Orleans, albeit not to all parts of society. While Google Earth did not create the economic and racial divides present in society, its use in the post-Katrina context reflect this gulf and have arguably reinforced and recreated it online. This paper has three main objectives. The first is to provide a clear empirical case study of how race remains relevant to the way people use (or do not use) the internet and internet based services. The second is highlighting the power of new online and interactive mapping technologies and demonstrating how these technologies are differentially adopted. The third and final objective is illustrating how any divide in accessing digital technology is not simply a one time event but a constantly moving target as new devices, software and cultural practices emerge. Thus, in addition to highlighting the racial inequalities in US society in general, Hurricane Katrina provides an important window on the way in which race remains a key factor in the access and use of emerging digital technologies.     

戈壁浅覆盖区花岗岩中锂铍伟晶岩的ASTER遥感识别技术 ——以新疆镜儿泉地区为例

锂铍金属是国家战略关键金属资源,花岗岩-伟晶岩型是锂铍矿床的重要类型,是锂铍矿找矿的重要目标体,遥感是寻找与发现花岗岩与伟晶岩的有效方法。但是,对于花岗岩体中的伟晶岩,由于其与花岗岩在光谱信息差异微小而不易识别。为了解决此问题,文章选择东疆戈壁覆盖的镜儿泉花岗岩开展锂铍伟晶岩的遥感识别研究,采用的数据与方法包括:谷歌地球/奥维等遥感图片的分析、WORLDVIEW遥感的增强处理与ASTER遥感的岩性识别与提取,结果显示谷歌地球/奥维遥感图片与WORLDVIEW遥感图片对镜儿泉花岗岩中伟晶岩脉的识别效果不好。为了识别锂铍伟晶岩,文章采用了一种岩性微弱信号增强技术对ASTER遥感数据进行识别,经过处理后的图像可以清楚地识别出伟晶岩脉体、并于野外查证时发现了一处新的锂铍伟晶岩脉体。结果表明利用岩性微弱信号增强技术进行岩性识别是花岗岩中锂铍伟晶岩找矿一种新的有效方法。     

基于浏览器的Google Earth交互式系统开发技术

介绍了基于浏览器的Google Earth交互式系统、开发技术、Struts框架和Ajax技术,描述了系统架构及开发途径。基于浏览器的Google Earth交互式系统具有广泛的商业应用前景。     

Google Earth: a new geological resource

Since its release in June 2005, Google Earth has been bringing satellite images of our planet into our homes, or at least to those homes with broadband connections. Computer users, excited by seeing their own houses from on high, or even their cars parked in the drive, have been raving about this impressive piece of software which can be downloaded to your PC (but not, as yet, your Mac) free of charge. After a weekend playing around with Google Earth, I can confirm that there is a whole range of potential applications for this software in teaching Earth science.     

南美洲沉积型铜矿遥感地质解译及成矿带划分

针对南美洲沉积型铜矿类型和成矿带划分,基于Google Earth遥感影像,对典型矿床进行遥感地质解译,建立了不同沉积铜矿类型的遥感地质解译标志。基于Landsat--ETM遥感影像,依据沉积型铜矿分布、控矿地质条件和遥感影像特征,将南美洲沉积型铜矿划分为滨太平洋一级成矿带和北部二叠纪、中部古近纪和南部白垩纪等3个次一级成矿带。     

Feature extraction for hyperspectral remote sensing image using weighted PCA-ICA

Principal component analysis (PCA) and independent component analysis (ICA) are linear feature extraction methods in terms of the second-order statistics and higher-order statistics and have good compatibility and complementarity. For the feature extraction of the hyperspectral remote sensing image, an approach of the combined PCA and ICA was followed in the real remote sensing classification applications. In this study, the weighted PCA-ICA method was introduced to extract the feature information from HJ-1A hyperspectral imager (HSI) image. And then the real airborne visible infrared imaging spectrometer (AVIRIS) image case was performed by the distance similarity measure. Experimental results on HJ-1A HSI and AVIRIS images indicate that the proposed method can get high average accuracy of 89.55% and kappa coefficient of 0.8101 than the typical methods under certain condition with a suitable number of eigenvectors and weighted values.     

Impact of Conjugated Shear Joint of “X” Type on Macroscopic Karstification on the Basis of the Analysis of Google Earth Images

As viewed from space remote-sensing images (e.g. Google Earth images) of South Guizhou and North Guangxi, the authors found that macroscopic karst landscape on the Earth’s surface is strongly controlled by the Conjugated shear joint of “X” type. Joints of this kind constitute a huge infiltration network and act as channel-ways for the permeation of meteoric waters from the surface, thus, leading to the dissolution of carbonate rocks nearby. As a result, the karst landscape is formed, which is dominated by linear karst valleys. An “X” karst valley network structure appears in the area where horizontal strata are distributed, and a feather-like network structure appears in the area where vertical strata are distributed, respectively. When the water permeates downwards to the underground-water level, it will flow horizontally along the strike of “X” joints toward the local base level of erosion to form an “X” network system of underground conduits in the area where horizontal strata are distributed, but it is relatively complex, because of the joining of other joints. This is the first time we have made use of Google Earth images to study the karst environment. Therefore, it has been successful in research on the Earth’s geomorphology, which could only rely on aerial photos and satellite photos in the past. Google Earth images provide low-cost and applicable imaging materials for the study of Earth’s geomorphology and karst rocky desertification and its control.     

Walter Benjamin’s Dionysian Adventures on Google Earth

This paper argues, following Friedrich Nietzsche, that recent evaluations of Google Earth uncritically privilege the product’s Apollonian determinations at the expense of its Dionysian uncertainties. Specifically, when we understand Google Earth as a virtual globe composed of surveyed panoramas, sober rationalization, dystopic control, and transparent order – or, even, as a tool for participation and empowerment – we undersell its capacities as an alluring digital peep-box, an uncertain orb spangled with vertiginous paranoia, frenzied navigation, jubilatory dissolution, and intoxicating giddiness. We argue that the former interpretations not only risk foreclosing our theorizations about how Google Earth is actually used in various ways and different contexts, they also reproduce a one-dimensional and conservative reading of technology that can be traced back (at least) to the writings of Theodor Adorno. By drawing on the work of Walter Benjamin (Adorno’s critic and pen pal for more than a decade) we aim to ‘go beyond Apollo and Adorno’ by illustrating the extent to which Apollonian order and Dionysian love makes Google Earth go round. To do this, we examine Google Earth as a “digital peep-box” with an online collective that revels in its “Spot the Black Helicopter” competitions; illuminated profanities; alien and giant insect invaders; naked sunbathers; and crashed transport planes in Darfur.     

Ten years on: what can Google Earth offer the geoscience community?

Google Earth has been part of most geoscientists' computer (and mobile) desktops for a decade, and this year Google Earth Professional has become freely available to all with a universal license key. Many users are still, however, not aware of the full potential that it can offer across a range of teaching and research areas in the geosciences. Here a pragmatic look is taken at some of the current key uses in terms of resources and applications and how they can help in research and training educational roles in the geosciences.     

复杂自然环境时空定量信息的获取与融合处理的理论与应用

从理论、方法与应用实现三方面,对国家“973 ”项目“复杂自然环境时空定量信息的获取与融合处理的理论与应用”在地球信息科学领域中的研究进展作一个概述。在遥感机制与信息理论上,以合成孔径雷达（ SAR ）研究为背景,发展全极化散射与SAR 成像信息理论;以微波辐射遥感为背景,发展非均匀自然介质矢量辐射传输（ VRT ）理论。在这基础上,开展在轨业务与试验遥感卫 星在多类陆地地表和大气遥感数据验证的方法与算法的研究。结合遥感、辐射传输、地理信息系统、中国陆面水文过程、数据同化技术,建立一个中国陆地水环境数据同化系统（ CLDAS ）;针对我国未来气象卫星的发展,由在轨SSM / I 、AMSU 、MTI 等遥感卫星数据、结合地面台站实测与探空等工作,形成了星载微波大气三水（降水、水汽、云水）反演与气象卫星数据业务算法与数据库;针对我国SAR 技术的发展,由ERS 、RADARSAT 等SAR 数据图像的应用研究,形成SAR - INSAR 多类应用技术研究与软件遥感应用平台。同时,结合多源信息融合理论方法与环境中目标跟踪实验与仿真,发展了目标与环境复合建模与特性数值仿真、开展了沿海区域异常大气结构中波传播实验等 研究。     

全球地球化学数据管理系统:“化学地球”软件研制

"数字地球"已经提出多年,是20世纪末期问世的定量化研究地球的一个新的战略方向。通过借鉴Google Earth,地质学界提出了建设One Geology和OGS-Earth多层次多学科应用平台的概念。进一步提出构建基于化学元素在地壳的分布可视化,建立"化学地球"或者叫做"元素地球"(命名为Chemical Earth),能直观地揭示地壳中元素的分布,反映出不同大地构造单元元素时空分布、演化历史和矿床的物质背景。本项研究主要完成两个方面的内容:(1)研发一个基于ArcGIS Server二维和三维统一的"化学地球"软件平台,类似于谷歌地球(Google Earth)的数字地球软件平台,实现对地球化学数据和图形适时进行二维(平面)和三维(球面)联动;(2)建立地球化学数据库和提供图形化工具,实现对数据库进行多种方式的查询统计,如对不同尺度地球化学图的显示、图形与数据交互查询和采样信息查询等。     

Digging into Google Earth: An analysis of “Crisis in Darfur”

Google publicists have suggested the Crisis in Darfur is an example of the Google Earth software’s “success at tangibly impacting what is happening on the ground.” Yet whether or not Google Earth’s interface, along with a medley of other media representations of the conflict, have impacted events on the ground or led to coherent policies of humanitarian intervention remains open to debate. This article draws upon critical approaches from media studies—namely discourse analysis—to analyze several aspects of the Google Earth/USHMM Crisis in Darfur project. While this project was no doubt developed with the noble intention of generating international awareness about widespread violence that has recently occurred in the Darfur region, it is important to evaluate how representations of global conflicts are changing with uses of new information technologies and whether such representations can actually achieve their desired impacts or effects. The article begins with a discussion of the Crisis in Darfur project’s history, proceeds to analyze some of the press coverage of the project and then moves to a critique of the layer using four categories of analysis: (1) the shifting role of satellite image; (2) the temporality of the interface; (3) the practice of conflict branding; and (4) the practice of “information intervention.” Throughout the article, I explore how the presentation of Darfur-related materials through Google Earth reproduces problematic Western tropes of African tragedy and misses an opportunity to generate public literacy around satellite images. I also consider how humanitarianism is intertwined with digital and disaster capitalism, and suggest that this instance of “information intervention” makes patently clear that high visual capital alone cannot resolve global conflicts.     

"谱遥感"与地球体检计划

人类活动的不断加剧已逐步影响到地球的健康状况,急需发展有效的地球健康诊断、评估与识别技术.为获悉地球健康状态,需要对地球进行全面的体检.谱遥感技术因具有动态、快速、大范围应用等特点,综合了地物波谱、地学图谱、地表时空演化谱信息,是监测和分析资源、环境乃至生态状况的最佳手段之一,是地球健康状况检测的核心技术.本文在遥感地物波谱特征的基础上,结合遥感揭示地学图谱和地表时空演化谱的优势,提出了谱遥感的定义、谱遥感地球体检应用的内容及其关键技术,总结了实现健康地球的谱遥感应用需求,归纳了天、空、地一体化的谱遥感平台构建方法,并探讨了提高地球体检效果的技术体系,最后对利用谱遥感技术开展地球体检提出了思路和展望.      

基于Google Earth影像分析区域性大型“X”共轭节理系统对宏观岩溶作用的控制

从黔南、桂北的航天遥感图像上可以清楚地看出,地表的宏观岩溶地貌明显地受控于区域性大型“X”共轭节理系统,此类节理构成一幅巨型的渗滤网,成为大气降水下渗的主要通道,从而导致被其穿透的岩石遭受溶蚀,形成以线性岩溶谷地为主体的岩溶景观。即水平地层分布区,呈片状“X”形网络结构;直立地层分布区,呈羽状条带结构。水体下渗至潜水面后,将主要沿“X”节理走向向当地最低侵蚀基准面排泄,从而形成复杂的地下管道网络系统。首次利用网上Google Earth影像研究喀斯特环境,解决了只能依赖航片和卫星照片才能研究地球地貌的瓶颈,这对地貌研究和喀斯特石漠化的研究和治理提供了廉价便利的影像材料。     

浅谈利用Google Earth结合MapGis软件制作地形图方法

利用Google Earth的三维模拟功能,通过不同海拔平面与地表的接触线来获得等高线,结合MapGis的编辑功能即可形成矢量化的地形图。经与实测地形图对比,两者山头、山谷、山脊、鞍部、高程及等高线形态基本相同,可做为野外工作及其它对地形图精度要求不高工作的参考资料。     

The creative reconstruction of the Internet: Google and the privatization of cyberspace and DigiPlace

The Internet has often been portrayed as the ultimate leveler of information where existing hierarchies of power and privilege are undermined by meritocracy. Some websites and functions are, however, more equal than others. In particular, search engines such as Google have been a key means to construct meaning out of disorder. This ordering (or enclosing of the Internet commons), however, comes at a cost as a location within the top 10 Google search results, marks the boundary (albeit a fluid one) between the core and the periphery of the Internet. The recent incorporation of spatial elements into the Google indexing raises fresh and geographically relevant concerns. This article focuses on the construction, access and use of Google derived rankings to deploy geo-referenced information in the physical environment and the way this melding of code and place affects how people interact with place. Using the theoretical concept of DigiPlace this article analyzes how Google Maps and Google Earth are structured and shape what appears (and what does not) in cyberspace and DigiPlace. Of particular concern are the implications of a private corporation controlling this new space.     

Variational Bayesian independent component analysis for spectral unmixing in remote sensing image

Spectral unmixing is a key technology of optical remote sensing image analysis; it not only influences the accuracy of the extraction of land cover information and automatic classification of topographical objects, but also greatly hinders the development of quantitative remote sensing. Independent component analysis (ICA) is a statistical method which is recently developed to extract the independent linear components, and which can realize the extraction of endmembers as well as fractional abundances with little a priori knowledge. However, ICA still cannot process the correlations among the various components. To overcome this problem, variational Bayesian independent component analysis (VBICA) has been proposed to process optical remote sensing images. In the Bayesian framework, the separation of independent components of remote sensing image has finally been achieved with conditional independence standards of Bayesian network and approximate variational algorithm. In the simulative image and real AVIRIS hyperspectral remote sensing image, the VBICA algorithm demonstrates its better performance. The experiment’s results indicate that the proposed VBICA algorithm is feasible, which has obvious advantages and a good application prospect. The reason is that it can effectively overcome the correlations between the various components in remote sensing images and break through the limitations of traditional remote sensing images analysis. Last but not least, the VBICA algorithm is applied in the classification of the TM multispectral remote sensing images. Compared to basic maximum likelihood classification, principal component analysis and FastICA algorithms, VBICA improves the classification accuracy of remote sensing images, and contributes to the further extension of the application of ICA in remote sensing image analysis.     

消除噪声的RNF图像融合算法

在多光谱遥感图像中有时也会存在较严重的随机点噪声的干扰，这种随机点噪声严重影响了地物光谱特征提取和识别的精度，降低了各种遥感定量分析方法技术的有效性。常用的遥感图像随机噪声消除或压抑方法是Fourier变换频率域方法和采用平滑模板对图像进行卷积处理的空间域方法，但它们往往会损失图像信息。文章探讨了消除或压抑噪声的图像融合方法，即RNF融合法。RNF融合算法先对参与融合的多光谱图像进行低通滤波，对全色波段进行高通滤波。然后将滤波后的全色波段与多光谱图像用HSI变换法进行融合，融合后的图像消除了噪声。     

基于NoSQL的高分高光谱遥感影像存储模型设计与实现

如何高效存储、管理呈几何增长的高分辨率、高光谱遥感影像数据, 实现遥感数据的快速处理、检索和可视化是急需解决的问题.应用非关系型数据库技术, 设计了由遥感元数据库、遥感影像数据库以及影像金字塔3个部分组成的海量遥感影像存储模型; 建立了由硬件支撑层、数据层、数据服务层及应用层组成的遥感影像存储中间件.通过实验分析, 验证了基于非关系数据库的遥感影像数据存储模型及中间件对影像数据的读写、提取性能优于传统的关系数据库.研究成果可满足高分高光谱遥感探测与评价模型对海量影像高效存储、管理的需求, 具有重要的实用价值.