2012 20th International Conference on Geoinformatics最新文献

{"title":"Efficient interoperation of user-generated geospatial model based on cloud computing","authors":"Lian Duan, Baoqing Hu, Xinyan Zhu","doi":"10.1109/Geoinformatics.2012.6270296","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270296","url":null,"abstract":"Numerous geospatial models have been developed. Development of technologies that facilitate sharing geospatial model becomes highly desirable. Although geospatial infrastructures built using standards-based distributed services have become the default computing paradigm adopted, most of them have been built following a top-down approach that only official providers are entitled to deploy and preserve geospatial resources including geospatial models. Since the mechanisms to deploy geospatial model as a web service in geospatial infrastructures are technologically complex, there has been limited participation from users, resulting in a scarcity of sharing geospatial model resources. Furthermore, the poor efficiency of geospatial model online implement remains the pains in most of geospatial infrastructures for transmitting and computing geodata in standard OGC service. Nowadays, the development of Cloud computing including associated spatial computing becomes the promising technology which is essential for enabling computing-intensive and data-intensive geospatial research and applications. Citizen sensing activities are accumulating data, information and models at a comparable or faster pace. To utilize these emerging technologies for addressing the limitations mentioned above, we present a distributed framework based on OGC specification and extend it with a service deploy component. This component improves ad hoc integration, deployment and register of geospatial model resources by two distinguishing approaches. Geospatial models can then be deployed, shared and accessed through tools and systems compliant with WPS by end users. Moreover, we modified the interface specification of WPS and WFS conforming to the MapReduce parallel computing mode and designed a self-adaptive task regulating mechanism for Hadoop and achieved great acceleration of the data-intensive computing in geospatial model. Finally, we illustrate our technique by the Geospatial Data and model platform addresses availability and efficiency of geospatial model auto-deploy mechanism.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125926091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accumulated similarity surface for spatial interpolation","authors":"Kang Yang, Yanming Chen, Manchun Li","doi":"10.1109/Geoinformatics.2012.6270262","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270262","url":null,"abstract":"Spatial interpolation uses the geospatial features with known values and spatial relationships to predict unknown values. Spatial weights matrix is the most conventional way to represent spatial relationships when interpolating, where Euclidean distance is employed as the similarity measurement to tackle the spatial dependence problem. But spatial relationships of geospatial features should build on spatial nonstationarity besides spatial dependence. Therefore Euclidean distance is not suitable to represent spatial relationships over the whole geospatial space and local spatial analysis methods, which address the spatial nonstationarity should be employed to construct spatial weights matrix. This paper proposes accumulated similarity surface and brings in curve evolution and fast marching method to calculate the similarity of geographical features. Thus spatial weights matrix is constructed using accumulated similarity surfaces according to both spatial dependence and spatial nonstationarity. Experiments are conducted using ASTER DEM as experimental data. The interpolation results show that spatial weights matrix based on accumulated similarity surfaces performs better than Euclidean-distance-based spatial weights matrix.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125278211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A mapreduce approach for processing large-scale remote sensing images","authors":"Yi Liu, Luo Chen, W. Xiong, Lu Liu, Dianhua Yang","doi":"10.1109/Geoinformatics.2012.6270312","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270312","url":null,"abstract":"This paper introduces a practical approach to process large-scale remote sensing images based on MapReduce program model. The proposed approach breaks the global large-scale remote sensing images processing into a set of different resolutions localized domains (tiles). Within each tile, the different remote sensing image processing algorithm can be applied. The critical step in this approach is how to integrate the MapReduce model smoothly with the large-scale remote sensing images processing. The proposed approach adopts the idea of tile pyramid which partition the global into multi-resolutions tiles. With the tile pyramid model, each remote sensing image will be partitioned and assigned to multi-resolutions tiles that it overlapped, and then all images assigned to the same tile will be assembled to form the final tile image; finally, the per-tile image processing can be performed. The experiment results show the feasibility, efficiency and scalability of solving large-scale remote sensing images problems with the proposed approach.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125424845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implementation of parallel algorithm for rasterization processing","authors":"Tao Huang, Manchun Li, Xiaohui Jiang, Zhibing Jin, Shuai Zhang, Zhenjie Chen","doi":"10.1109/Geoinformatics.2012.6270293","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270293","url":null,"abstract":"Parallel algorithms can significantly improve the efficiency of rasterization. This paper implements a parallel algorithm for rasterization that is proposed for the fast processing of enormous amounts of vector data based on message passing interface (MPI) library. Results show that the new parallel algorithm can improve the efficiency of rasterization processing.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126355387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parallel algorithm designed for polygon vectorization","authors":"Jinbiao Wei, Manchun Li, Yafei Wang, Chong Chen, Wuyang Hong, Zhenjie Chen","doi":"10.1109/Geoinformatics.2012.6270305","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270305","url":null,"abstract":"Raster and vector are two major types of data format in GIS, we often need to make a conversion of raster data to vector considering the advantages of vector. In this paper we first discuss the classic algorithms of vectorization and the technology of high performance computing, by applying the parallel strategy to vectorization algorithm, we present a specific parallel algorithm for polygon vectorization base on MPI interface and also the open source library GDAL, Then we give the parallel result which is evaluated by parallel speed up and the analysis of this program. From the result, we can see the parallel program dramatically improve the vectorization efficiency comparing with a single processor. And finally present the problems still exist in the algorithm. We implement this algorithm using C++ and MPI.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126564372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on industrial land consolidation based on GIS","authors":"Xiaowei Ma, Manchun Li, Yongxing Wang, Shuo Yan, Xiaohui Jiang, Feixue Li","doi":"10.1109/Geoinformatics.2012.6270265","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270265","url":null,"abstract":"With rapid economic growth of Wujin district, the demand for industrial land is increasing accordingly. The limitation of land reserve resources and agricultural land consolidation make the contradiction of land supply more outstanding. Thus, the research on industrial land consolidation is realistically significant and provides a solution to the problem of land use. The potential and pattern of industrial land consolidation based on Geographic Information System (GIS) is introduced in this article. According to the analysis, the consolidation potentiality of the industrial land in Wujin district is huge and in the influence of various driving factors, the effective arrangement for the land of industrial land is needed as soon as possible.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128080680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comparative study of several Taylor expansion methods on error propagation","authors":"Jie Xue, Jianghong Ma","doi":"10.1109/Geoinformatics.2012.6270340","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270340","url":null,"abstract":"In the literature for error propagation, there have been many methods such as Monte Carlo simulations and Taylor expansions. Among them, the Taylor expansion method is popular since it not only gives the propagation relationship, but also can reveal the effects of small perturbations away from the true value. One-order Taylor expansion method, as a linear approximation, has been studied extensively for its simplicity of computation. However, most of the system functions in practice are nonlinear. Aimed at this point, we investigate in this paper the exact error propagation method and higher-order Taylor expansion methods when the random error vectors are distributed independently or dependently, and use Taylor expansion methods to length measurements of linear segments and perimeter measurements of polygons, which are basic operations in GIS. Simulation experiments show that the five-order Taylor expansion method is superior to those used three-order expansions if the accuracy of propagated outputs is the only purpose without considering the computational complexity. This method improves just a little accuracy, but greatly increases the numbers of calculating partial derivatives when it compares with lower-order Taylor expansions. Thus, the three-order Taylor expansion method is generally a more feasible selection in practice.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122279360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Zero calibration of bottom pressure gauge in antarctic: A case study at Chinese Zhongshan station using GPS techniques","authors":"Jifeng Huang, Dongchen, Shengkai Zhang","doi":"10.1109/Geoinformatics.2012.6270311","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270311","url":null,"abstract":"Tide gauge data are critical for assessing long-term trend of sea level changes, which is a significant consequence of global climate changes, and for providing local height datum. Calibration and vertical datum control of tide gauges are fundamental in studies involving the determination of absolute sea level and its long term trend. The Chinese Zhongshan station, located in Larsemann Hills, East Antarctic(69_22_ S, 76_23_ E), represents one of the few possible locations in the Southern Ocean to measure sea level using traditional tide gauge techniques. The sea ice and atmospheric climatology of the region, coupled with a rugged coastline, makes installing a modern tide gauge extremely difficult. To overcome many of these difficulties, we use a bottom pressure gauge operated within a mooring frame. The frame is weighted by 9 lead weights to fix on the sea floor. The calibration requirements of the gauge zero are problematic and require special consideration for an accurate calculation of mean sea level and its change over time. We present results from an application of GPS to achieve an in situ calibration of the tide gauge zero, solving for the vertical offset and zero drift parameters. Obvious vertical offset has been found of the tide gauge zero, which must be removed from the tide data to calculate the long term sea level change. The methodology provides a new and high-precision technique using available instrumentation, allowing users to maximize the oceanographic and geodetic values of tide gauge observations.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"133 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130921994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of the characteristic and the driving force of island-town spatial expansion: A case study in Pingtan County","authors":"Wuyang Hong, Manchun Li, Yongxing Wang, N. Lin, Jinbiao Wei, Feixue Li","doi":"10.1109/Geoinformatics.2012.6270330","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270330","url":null,"abstract":"This paper took Pingtan County, an island-town located in the eastern seashore of Fujian Province, as the study area. By the comprehensive use of RS and GIS techniques, this paper summarized the morphological characteristics of main-urban area spatial expansion in Pingtan County since the Hercynian construction was proposed. The expansion characteristics were systematically analyzed by introduced three indicators: urban sprawl strength, urban center and compact index. Combined with regional socio-economic development, this paper also investigated the driving mechanism of urban land growth from the following aspects, geographical environment, population-driven, economic development, macroeconomic policy and urban planning guidance, etc. The results showed that it was quite distinct of Pingtan County urban spatial expansion, and the built-up area, increased from 5.23 km2 in 2002 to 7.69 km2 in 2007, had risen by about half in five years; the growth area was mainly concentrated in eastern and southern parts; the county center had been offset by 220m along the southeast direction; the urban space expansion was a combined result of natural, economic and social factors.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132671530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact on the Oriental white stork habitat due to the agriculture development in Sanjiang Plain, Northeast China","authors":"Ling Zhang, Xiaojuan Li, Xiaomeng Liu","doi":"10.1109/Geoinformatics.2012.6270290","DOIUrl":"https://doi.org/10.1109/Geoinformatics.2012.6270290","url":null,"abstract":"The key objective of this research is to reveal the change of the Oriental white stork's habitat due to local agriculture activities in the study area at landscape scale with the aid of Geographic Information System techniques. Furthermore, an analysis of breeding captivity is done for a better understanding of the relationship between the decrease in Oriental White Stork population and habitat loss and fragmentation in the study area. Result shows that: (1). In all, about 58% of potential breeding habitat and 90% of potential feeding habitat were respectively lost due chiefly to Agriculture reclamation over 1975-2006. (2). The degree of habitat fragmentation became higher, and habitat patches were isolated, smaller and closer to farmland patches over 1975-2006. Behavioral fragmentation due to agriculture reclamation is the major cause of potential habitat fragmentation. (3). The loss and fragmentation of potential habitat lead to the decrease in suitable habitat for the Oriental White Stork. Compared with 1975, suitable breeding habitat was lost 74% in 1989 and 89% in 2006 respectively. Accordingly the number of the Oriental White Stork which can be kept by suitable habitat declined. The decrease in Oriental White Stork population has a close relation with Habitat loss and fragmentation.","PeriodicalId":259976,"journal":{"name":"2012 20th International Conference on Geoinformatics","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115457620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}