本文選題：VGI + OpenStreetMap��； 參考：《測(cè)繪與空間地理信息》2016年01期

【摘要】：周邊區(qū)域地理信息的獲取是我國(guó)地緣環(huán)境研究中的一個(gè)難題,志愿者地理信息(volunteered geographic information,VGI)的興起為解決該難題提供了一個(gè)可行的方法。在目前一系列的VGI項(xiàng)目中,OpenStreetMap(OSM)是比較領(lǐng)先的應(yīng)用,但OSM數(shù)據(jù)模型不同于我國(guó)周邊應(yīng)用的專業(yè)矢量數(shù)據(jù)模型,因此,利用OSM數(shù)據(jù)時(shí)首先需要對(duì)其進(jìn)行模型轉(zhuǎn)換。有鑒于此,本文提出了一種基于規(guī)則的OSM數(shù)據(jù)到專業(yè)應(yīng)用矢量數(shù)據(jù)模型轉(zhuǎn)換方法。該方法首先利用OSM定義的幾何類型與地物屬性作為分類依據(jù),建立了模型轉(zhuǎn)換基本規(guī)則庫(kù);對(duì)于志愿者根據(jù)自己的理解自行標(biāo)注未包含在基本規(guī)則庫(kù)中的目標(biāo)采用人機(jī)交互方式進(jìn)行模型轉(zhuǎn)換,并在此過(guò)程中不斷完善規(guī)則庫(kù),利用越南與巴基斯坦數(shù)據(jù)進(jìn)行實(shí)驗(yàn),最終形成了包括2 344條轉(zhuǎn)換規(guī)則的模型轉(zhuǎn)換規(guī)則庫(kù),為OSM數(shù)據(jù)模型到專業(yè)應(yīng)用矢量數(shù)據(jù)模型的轉(zhuǎn)換提供了一條可行途徑。
[Abstract]:The acquisition of geographical information in peripheral regions is a difficult problem in the study of geo-environment in China. The rise of volunteer geographic information has provided a feasible method to solve this problem.OpenStreetMapOSM is a leading application in a series of VGI projects at present, but the OSM data model is different from the professional vector data model in the peripheral application of our country. Therefore, it is necessary to transform the OSM model first when using OSM data.In view of this, this paper proposes a rule-based transformation method from OSM data to professional application vector data model.In this method, the basic rules of model transformation are established based on the geometric types and the attributes of objects defined by OSM.According to their own understanding, volunteers annotate objects that are not included in the basic rule base and use human-computer interaction to transform the model. In the process, they constantly improve the rule base and make use of Vietnamese and Pakistani data to carry out experiments.Finally, a model transformation rule base including 2 344 transformation rules is formed, which provides a feasible way for the conversion of OSM data model to professional application vector data model.
【作者單位】： 中南大學(xué)地球科學(xué)與信息物理學(xué)院;
【基金】：“十二五”國(guó)家科技支撐項(xiàng)目(2012BAK12B01)資助
【分類號(hào)】：P208
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本文編號(hào)：1753370