【摘要】：第一次地理國(guó)情普查是當(dāng)今一項(xiàng)重大的國(guó)情國(guó)力調(diào)查,是掌握自然地理要素以及人文地理要素空間分布情況的重要方式。圖斑反映了地理國(guó)情中的地表自然物和人工建造物的自然屬性或狀況,是此次地理國(guó)情普查成果圖的重要制圖內(nèi)容。在海量地理國(guó)情數(shù)據(jù)中,不同部門(mén)需要信息的詳盡程度和尺度范圍各不相同,因此需要通過(guò)自動(dòng)制圖綜合的手段得到不同比例尺的數(shù)據(jù),以供不同部門(mén)在不同領(lǐng)域中的應(yīng)用。本文在分析地理國(guó)情圖斑全覆蓋、無(wú)縫隙、無(wú)重疊并且語(yǔ)義信息豐富等特點(diǎn)的基礎(chǔ)上,考慮到圖斑數(shù)據(jù)量較大,分類瑣碎形狀復(fù)雜,縮編時(shí)涉及的尺度變化較大,且融合過(guò)程的技術(shù)要求繁瑣,因此在圖斑自動(dòng)化流程設(shè)計(jì)以及融合算法上進(jìn)行優(yōu)化。本文主要研究?jī)?nèi)容:1、從自動(dòng)化綜合出發(fā),全面梳理圖斑綜合涉及的知識(shí)規(guī)則和技術(shù)要求;2、針對(duì)圖斑融合算法,提出鄰近關(guān)系分析模型和骨架線優(yōu)化算法,并優(yōu)化融合流程,提高融合的效率和結(jié)果的準(zhǔn)確性;3、針對(duì)圖斑數(shù)量大的特點(diǎn),提出將數(shù)據(jù)進(jìn)行物理分塊,制定分塊的規(guī)則以及數(shù)據(jù)集提取流程,通過(guò)分塊后的數(shù)據(jù)并行進(jìn)行融合操作,大幅度提高融合效率;4、對(duì)分塊完成融合后的結(jié)果數(shù)據(jù),分模式提出邊界處縫補(bǔ)技術(shù),從而保證綜合后數(shù)據(jù)空間一致性和拓?fù)渫暾浴?br/>[Abstract]:The first general survey of geographical conditions is an important survey of national conditions and national strength. It is an important way to grasp the spatial distribution of natural geographical elements and humanistic geographical elements. The map spot reflects the natural attribute or condition of the surface natural object and the artificial construction object in the geographical national conditions, and is the important mapping content of the result map of the geographical situation survey. In the mass geographic national conditions data, the detailed degree and the scale range of the information needed by different departments are different, so it is necessary to obtain the data of different scales by means of automatic cartographic generalization for the application of different departments in different fields. On the basis of analyzing the features of geographical situation, such as full coverage, no gap, no overlap and rich semantic information, this paper takes into account the large amount of map spot data, the complexity of classification and trivial shapes, and the large scale changes involved in the drawdown. And the technical requirements of the fusion process are cumbersome, so we optimize the automatic flow design and fusion algorithm. This article mainly studies the content: 1, from the automation synthesis, comprehensively combs the picture spot synthesis related knowledge rule and the technical requirement. Aiming at the image spot fusion algorithm, proposes the proximity relation analysis model and the skeleton line optimization algorithm, and optimizes the fusion flow. In order to improve the efficiency of fusion and the accuracy of the result, aiming at the large number of image spots, the paper puts forward that the data is divided into physical blocks, rules of partition and extraction flow of data set are formulated, and the fusion operation is carried out in parallel through the data divided into blocks. The efficiency of fusion is greatly improved. The patching technique at the boundary is put forward to ensure the consistency of data space and the topological integrity of the integrated data.
【學(xué)位授予單位】：中國(guó)測(cè)繪科學(xué)研究院
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P208

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 廖敏;文婷玉;;第一次地理國(guó)情普查成果應(yīng)用的思考與建議[J];測(cè)繪地理信息;2016年05期

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本文編號(hào)：2189534