基于分塊的海量地理國情圖斑融合及縫補技術研究
發(fā)布時間：2018-08-18 12:58
【摘要】：第一次地理國情普查是當今一項重大的國情國力調查,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,是此次地理國情普查成果圖的重要制圖內容。在海量地理國情數據中,不同部門需要信息的詳盡程度和尺度范圍各不相同,因此需要通過自動制圖綜合的手段得到不同比例尺的數據,以供不同部門在不同領域中的應用。本文在分析地理國情圖斑全覆蓋、無縫隙、無重疊并且語義信息豐富等特點的基礎上,考慮到圖斑數據量較大,分類瑣碎形狀復雜,縮編時涉及的尺度變化較大,且融合過程的技術要求繁瑣,因此在圖斑自動化流程設計以及融合算法上進行優(yōu)化。本文主要研究內容:1、從自動化綜合出發(fā),全面梳理圖斑綜合涉及的知識規(guī)則和技術要求;2、針對圖斑融合算法,提出鄰近關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果的準確性;3、針對圖斑數量大的特點,提出將數據進行物理分塊,制定分塊的規(guī)則以及數據集提取流程,通過分塊后的數據并行進行融合操作,大幅度提高融合效率;4、對分塊完成融合后的結果數據,分模式提出邊界處縫補技術,從而保證綜合后數據空間一致性和拓撲完整性。
[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.
【學位授予單位】：中國測繪科學研究院
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：P208
[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.
【學位授予單位】：中國測繪科學研究院
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：P208
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相關期刊論文 前10條
1 廖敏;文婷玉;;第一次地理國情普查成果應用的思考與建議[J];測繪地理信息;2016年05期
2 李太平;吳長俊;孫朝r，
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