【摘要】：隨著社會(huì)的不斷發(fā)展，，人們賴(lài)以生存的地理空間持續(xù)發(fā)生著變化，城市居民地作為空間目標(biāo)變化中最為活躍的要素之一，是空間數(shù)據(jù)更新的主要內(nèi)容。面狀居民地因其分布密集、形態(tài)復(fù)雜、輪廓不規(guī)則等特點(diǎn)，已成為空間數(shù)據(jù)匹配中最為復(fù)雜最具挑戰(zhàn)性的部分。 綜合分析了現(xiàn)有面要素常見(jiàn)匹配方法，本文提出了采用降維技術(shù)對(duì)大比例尺城市面狀居民地進(jìn)行匹配的新方法。主要工作及創(chuàng)新點(diǎn)體現(xiàn)在以下幾個(gè)方面： （1）提出了采用降維技術(shù)進(jìn)行面狀居民地匹配的新方法。對(duì)面狀居民地進(jìn)行降維處理，把面狀居民地轉(zhuǎn)化為能夠反映其輪廓主要形態(tài)特征的骨架線(xiàn)，一方面有效降低了匹配的復(fù)雜性及計(jì)算量；另一方面線(xiàn)要素的許多匹配算法可引入進(jìn)來(lái)，有效拓展了面要素匹配的方法與技術(shù)途徑。 （2）研究了面狀居民地骨架線(xiàn)提取與化簡(jiǎn)方法。分析了常見(jiàn)面要素骨架線(xiàn)提取算法，根據(jù)面狀居民地自身特點(diǎn)，對(duì)居民地骨架線(xiàn)提取算法進(jìn)行了統(tǒng)一；在分析常見(jiàn)線(xiàn)要素化簡(jiǎn)方法的基礎(chǔ)上，提出了基于自身幾何特征的骨架線(xiàn)化簡(jiǎn)算法。 （3）構(gòu)建了基于骨架線(xiàn)的居民地匹配方法。在綜合分析已有線(xiàn)要素匹配算法的基礎(chǔ)上，梯次提出了基于骨架線(xiàn)緩沖區(qū)法、骨架線(xiàn)積分面積差值率法、骨架線(xiàn)傅立葉變換法等三種居民地匹配方法，并對(duì)三種方法的可行性和科學(xué)性進(jìn)行了對(duì)比驗(yàn)證。 （4）提出基于約束城市骨架線(xiàn)網(wǎng)的居民地匹配方法。面狀居民地因其在空間分布上的離散性，導(dǎo)致對(duì)其整體結(jié)構(gòu)與關(guān)系描述較為困難。而作為面狀居民地補(bǔ)集的城市空白區(qū)域，其分布是連續(xù)的，空白區(qū)域能夠較好地反映居民地及其相互之間的幾何與方位等關(guān)系。據(jù)此，本文提出了基于約束城市骨架線(xiàn)網(wǎng)的居民地匹配方法，在城市道路網(wǎng)的約束下，提取城市空白區(qū)域骨架線(xiàn)，通過(guò)對(duì)約束城市骨架線(xiàn)網(wǎng)進(jìn)行匹配，達(dá)到對(duì)居民地匹配的目的。 （5）實(shí)現(xiàn)了基于降維技術(shù)的面狀居民地匹配實(shí)驗(yàn)系統(tǒng)。以同一區(qū)域內(nèi)的多源大比例尺城市面狀居民地?cái)?shù)據(jù)集為實(shí)驗(yàn)對(duì)象，對(duì)本文理論與方法的科學(xué)性進(jìn)行了驗(yàn)證。
[Abstract]:With the continuous development of society, the geographical space on which people depend for survival is constantly changing. As one of the most active elements in the change of spatial objectives, urban residential land is the main content of spatial data updating. Because of its dense distribution, complex shape and irregular contour, the surface residential area has become the most complex and challenging part of spatial data matching. Based on a comprehensive analysis of the common matching methods of surface elements, this paper presents a new method of matching large-scale urban surface residents with dimensionality reduction technique. The main work and innovation points are as follows: (1) A new method of surface resident land matching based on dimension reduction technology is proposed. On the one hand, the complexity and calculation of matching can be effectively reduced by reducing the dimension of the opposite residents and transforming them into skeleton lines which can reflect the main morphological features of the contours. On the other hand, many matching algorithms of line features can be introduced, which effectively extends the methods and technical approaches of surface feature matching. (2) the method of extracting and simplifying the skeleton line of the area resident is studied. This paper analyzes the algorithm of extracting skeleton line of common meet feature, and unifies the algorithm of extracting skeleton line of resident ground according to the characteristics of area resident land. Based on the analysis of common line feature reduction methods, a skeleton line reduction algorithm based on its own geometric features is proposed. (3) the method of resident-land matching based on skeleton line is constructed. On the basis of comprehensive analysis of the matching algorithm of wired elements, three resident matching methods based on skeleton line buffer method, skeleton line integral area difference ratio method and skeleton line Fourier transform method are proposed, which are based on skeleton line buffer method, skeleton line integral area difference ratio method and skeleton line Fourier transform method. The feasibility and scientificalness of the three methods are compared and verified. (4) A method of resident-land matching based on constrained urban skeleton network is proposed. Because of its discreteness in spatial distribution, it is difficult to describe its whole structure and relationship. The distribution of urban blank area is continuous, and the blank area can better reflect the relationship between geometry and orientation of residential areas. According to this, this paper puts forward a method of resident-land matching based on constrained urban skeleton line network. Under the constraint of urban road network, the urban blank area skeleton line is extracted, and the constrained urban skeleton line network is matched. To achieve the purpose of matching the residents. (5) the surface resident matching experiment system based on dimension reduction technology is realized. Taking the multi-source and large-scale urban residential land data set in the same area as the experimental object, the scientific nature of the theory and method in this paper is verified.
【學(xué)位授予單位】：解放軍信息工程大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：P208

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 郭邦梅;王濤;趙榮;梁勇;;面狀要素骨架線(xiàn)提取算法的研究[J];測(cè)繪通報(bào);2010年12期

相關(guān)博士學(xué)位論文 前1條

1 郭黎;多源地理空間矢量數(shù)據(jù)融合理論與方法研究[D];解放軍信息工程大學(xué);2008年

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