本文選題：三維國(guó)土云平臺(tái) + 多尺度模型�。� 參考：《電子科技大學(xué)》2017年碩士論文

【摘要】：三維國(guó)土管理云平臺(tái)是國(guó)土信息化發(fā)展的必然趨勢(shì),大量國(guó)土數(shù)據(jù)的網(wǎng)絡(luò)傳輸和實(shí)時(shí)渲染是平臺(tái)面臨的一個(gè)巨大挑戰(zhàn)。多尺度模型和漸進(jìn)式傳輸技術(shù)是解決大規(guī)模國(guó)土數(shù)據(jù)的網(wǎng)絡(luò)傳輸和實(shí)時(shí)渲染問(wèn)題的關(guān)鍵技術(shù)。論文實(shí)現(xiàn)了大量國(guó)土數(shù)據(jù)的多尺度模型構(gòu)建、漸進(jìn)式傳輸、三維可視化,為三維國(guó)土管理云平臺(tái)的研發(fā)奠定了堅(jiān)實(shí)的技術(shù)基礎(chǔ)。同時(shí)采用數(shù)據(jù)預(yù)取、數(shù)據(jù)移除等技術(shù),提高多尺度模型和漸進(jìn)式傳輸原型系統(tǒng)的性能。本論文的主要研究工作如下:(1)根據(jù)Visvalingam-Whyatt算法本身的不足和論文使用矢量數(shù)據(jù)特點(diǎn),提出了基于單調(diào)曲線的改進(jìn)的Visvalingam-Whyatt算法,有效地解決了構(gòu)建矢量數(shù)據(jù)多尺度數(shù)據(jù)時(shí)出現(xiàn)的自相交、占用內(nèi)存大等問(wèn)題。(2)借鑒多細(xì)節(jié)層次的多尺度模型,提出基于空間格網(wǎng)的多細(xì)節(jié)層次的多尺度模型,進(jìn)行矢量數(shù)據(jù)的多尺度組織,解決了大量矢量數(shù)據(jù)的多尺度存儲(chǔ)、漸進(jìn)式傳輸、快速檢索等問(wèn)題。(3)討論了漸進(jìn)式傳輸中的關(guān)鍵技術(shù):多線程技術(shù)、數(shù)據(jù)移除、數(shù)據(jù)預(yù)取。矢量數(shù)據(jù)的漸進(jìn)式傳輸框架包含多個(gè)重要的任務(wù),每個(gè)任務(wù)之間相互獨(dú)立,通過(guò)多個(gè)線程協(xié)作來(lái)完成;數(shù)據(jù)量大,占用客戶端內(nèi)存大,通過(guò)數(shù)據(jù)移除算法來(lái)移除暫時(shí)不會(huì)加載的數(shù)據(jù);為了避免數(shù)據(jù)加載緩慢,采取數(shù)據(jù)預(yù)取技術(shù)。(4)研究影像數(shù)據(jù)的預(yù)處理方法,包括波段提取、波段融合、影像拉伸、影像鑲嵌、影像裁剪等;使用了基于行分割的影像金字塔算法,解決了影像切片緩慢、內(nèi)存占用大等問(wèn)題。(5)最后詳細(xì)地論述了多尺度模型和漸進(jìn)式傳輸原型系統(tǒng),采用C/S架構(gòu),實(shí)現(xiàn)了國(guó)土數(shù)據(jù)的漸進(jìn)式接收、重建、三維可視化;并包括國(guó)土數(shù)據(jù)多尺度構(gòu)建工具,用以生成矢量和影像數(shù)據(jù)的多尺度數(shù)據(jù)。并給出了原型系統(tǒng)的性能評(píng)價(jià)方法,對(duì)系統(tǒng)的主要性能進(jìn)行了對(duì)比,證明了系統(tǒng)的實(shí)用性。本論文研究并改進(jìn)了多尺度模型和漸進(jìn)式傳輸方法,開(kāi)發(fā)出了原型系統(tǒng),實(shí)驗(yàn)結(jié)果表明大量國(guó)土數(shù)據(jù)的網(wǎng)絡(luò)傳輸性能較好,能夠滿足實(shí)際應(yīng)用需要。
[Abstract]:The 3D land management cloud platform is the inevitable trend of the development of land information, and the network transmission and real-time rendering of a large amount of land data is a great challenge to the platform. Multi-scale model and progressive transmission technology are the key technologies to solve the problem of large-scale land data transmission and real-time rendering. In this paper, a large number of land data multi-scale model construction, progressive transmission, three-dimensional visualization, for the development of three-dimensional land management cloud platform laid a solid technical foundation. At the same time, data prefetching and data removal techniques are used to improve the performance of multi-scale model and progressive transmission prototype system. The main work of this thesis is as follows: (1) according to the shortcomings of Visvalingam-Whyatt algorithm and the characteristics of vector data, an improved Visvalingam-Whyatt algorithm based on monotone curve is proposed, which effectively solves the self-intersection in constructing multi-scale data of vector data. (2) drawing lessons from the multi-scale model of multi-level of detail, a multi-scale model based on spatial grid is proposed to organize the vector data in multi-scale, which solves the problem of multi-scale storage of a large number of vector data. (3) the key technologies of progressive transmission are discussed: multithreading, data removal and data prefetching. The progressive transmission framework of vector data contains many important tasks, each task is independent of each other and is accomplished by multi-thread cooperation, which has a large amount of data and takes up a large amount of memory on the client side. In order to avoid slow data loading, data prefetching technology is adopted. (4) the pretreatment methods of image data are studied, including band extraction, band fusion, image stretching, image mosaic, etc. Image clipping and so on; using the image pyramid algorithm based on line segmentation to solve the problems of slow slicing and large memory footprint. (5) finally, the multi-scale model and progressive transmission prototype system are discussed in detail, using C / S architecture, It realizes the gradual receiving, reconstruction and 3D visualization of land data, and includes the multi-scale construction tool of land data, which is used to generate multi-scale data of vector and image data. The performance evaluation method of the prototype system is given, the main performance of the system is compared, and the practicability of the system is proved. In this paper, the multi-scale model and progressive transmission method are studied and improved, and a prototype system is developed. The experimental results show that the network transmission performance of a large amount of land data is good and can meet the needs of practical applications.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：P208

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本文編號(hào)：2052040