本文選題：瓦片影像　切入點(diǎn)：嵌入式數(shù)據(jù)庫　出處：《電子科技大學(xué)》2013年碩士論文

【摘要】：遙感影像作為數(shù)字地球建設(shè)計(jì)劃的基礎(chǔ)地理信息數(shù)據(jù)，其高效存儲(chǔ)和快速檢索是遙感影像信息提取和共享的重要手段。近幾年，，隨著高分辨率對(duì)地觀測(cè)技術(shù)的發(fā)展，遙感影像數(shù)據(jù)量呈幾何級(jí)增加，對(duì)于海量的影像數(shù)據(jù)如何才能有序、高效地存儲(chǔ)，組織與管理，并形成統(tǒng)一的存儲(chǔ)組織規(guī)范，從而實(shí)現(xiàn)遙感數(shù)據(jù)的共享與快速發(fā)布服務(wù)，已經(jīng)成為空間信息科學(xué)領(lǐng)域急需解決的問題。 通過對(duì)國內(nèi)外典型的海量遙感數(shù)據(jù)存儲(chǔ)管理系統(tǒng)的研究，不難發(fā)現(xiàn)采用多分辨率金字塔和影像分塊技術(shù)，是實(shí)現(xiàn)海量遙感影像信息的實(shí)時(shí)顯示和高速服務(wù)的有效途徑。然而采用影像金字塔技術(shù)組織遙感影像數(shù)據(jù)本質(zhì)上采用的是犧牲存儲(chǔ)空間的方式，因此必然會(huì)導(dǎo)致遙感影像的數(shù)據(jù)量大幅增加，使得本來已經(jīng)呈現(xiàn)海量狀態(tài)的遙感影像數(shù)據(jù)再次呈倍數(shù)增加。 由此可知海量遙感瓦片數(shù)據(jù)的高效存儲(chǔ)及管理具有重要意義，本研究正是基于此熱點(diǎn)問題，通過分析當(dāng)前國內(nèi)外比較知名的海量遙感瓦片影像存儲(chǔ)管理系統(tǒng)，結(jié)合瓦片數(shù)據(jù)的空間特性，提出一種基于輕型嵌入式數(shù)據(jù)庫和文件系統(tǒng)結(jié)合的海量遙感瓦片影像存儲(chǔ)方案，該方案采用分布式文件系統(tǒng)存儲(chǔ)瓦片影像實(shí)體數(shù)據(jù)，瓦片的索引數(shù)據(jù)或元數(shù)據(jù)存放到各節(jié)點(diǎn)樹形存儲(chǔ)結(jié)構(gòu)下的嵌入式數(shù)據(jù)庫文件，瓦片影像數(shù)據(jù)與元數(shù)據(jù)都實(shí)現(xiàn)了分布式存儲(chǔ)的功能，從而解決了集中式元數(shù)據(jù)存儲(chǔ)查找的瓶頸問題。具體的分布式策略借鑒哈希取模算法，但是考慮到瓦片影像數(shù)據(jù)的安全性和分布式存儲(chǔ)系統(tǒng)的可用性，本研究提出并設(shè)計(jì)了一種基于哈希模的冗余策略-哈希主副配號(hào)法，并且定性的分析了采用哈希冗余策略設(shè)計(jì)的分布式文件系統(tǒng)的可靠性，可擴(kuò)展性和負(fù)載均衡性等特點(diǎn)；本研究的存儲(chǔ)策略決定了檢索方式即能支持直接尋址的精確查找又能支持基于數(shù)據(jù)庫SQL技術(shù)的模糊查找，文中詳細(xì)的闡述了檢索原理、實(shí)現(xiàn)過程和核心代碼，并且進(jìn)行了大量的實(shí)驗(yàn)測(cè)試，通過與傳統(tǒng)的基于大型商用數(shù)據(jù)庫的集中式查找技術(shù)作比較，表明本研究的檢索效率具有明顯的優(yōu)勢(shì)，能夠滿足海量數(shù)據(jù)源查找請(qǐng)求。 文章最后總結(jié)了本研究的主要貢獻(xiàn)和創(chuàng)新點(diǎn)，并提出了下一步的研究計(jì)劃。
[Abstract]:Remote sensing image as the basic geographic information data of the digital earth construction plan, its efficient storage and fast retrieval is an important means of remote sensing image information extraction and sharing. In recent years, with the development of high-resolution earth observation technology, The amount of remote sensing image data is increasing in geometric order. How to store, organize and manage the massive image data in an orderly and efficient manner, and form a unified storage organization standard, so as to realize the sharing and rapid release of remote sensing data. It has become an urgent problem in the field of spatial information science. Through the research on the typical massive remote sensing data storage and management system at home and abroad, it is not difficult to find that the multi-resolution pyramid and image block technology are used. It is an effective way to realize the real-time display and high speed service of mass remote sensing image information. However, using image pyramid technology to organize remote sensing image data is essentially a way of sacrificing storage space. Therefore, it will inevitably lead to a large increase in the amount of remote sensing image data, which makes the remote sensing image data which has already presented a massive state to be multiplied again. It can be seen that the efficient storage and management of massive remote sensing tile data is of great significance. This study is based on this hot issue, through the analysis of the domestic and foreign well-known mass remote sensing tile image storage and management system. Based on the spatial characteristics of tile data, a massive remote sensing tile image storage scheme based on the combination of lightweight embedded database and file system is proposed. The scheme uses distributed file system to store tile image entity data. The index data or metadata of tile is stored in the embedded database file under tree structure of each node. Both tile image data and metadata realize the function of distributed storage. Therefore, the bottleneck problem of centralized metadata storage and search is solved. The specific distributed strategy uses hash extraction algorithm for reference, but considering the security of tile image data and the availability of distributed storage system, In this paper, we propose and design a kind of redundant strategy based on hash module, which is called hashing master and sideload, and qualitatively analyze the reliability, extensibility and load balance of distributed file system designed by hash redundancy strategy. The storage strategy of this study determines that the retrieval method can not only support the accurate search of direct addressing, but also can support the fuzzy search based on database SQL technology. In this paper, the retrieval principle, implementation process and core code are described in detail. By comparing with the traditional centralized search technology based on large commercial database, the retrieval efficiency of this study has obvious advantages and can satisfy the mass data source search request. Finally, the paper summarizes the main contributions and innovations of this study, and puts forward the next research plan.
【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】：2013
【分類號(hào)】：P208

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本文編號(hào)：1679584