本文選題：遙感影像 + 土地調(diào)查�。� 參考：《南京師范大學(xué)》2013年碩士論文

【摘要】：遙感影像數(shù)據(jù)具有獲得便捷、內(nèi)容豐富、直觀易讀等特點(diǎn),其在土地資源管理、生態(tài)環(huán)境監(jiān)測(cè)、農(nóng)業(yè)生產(chǎn)、抗震救災(zāi)和宇宙探索等領(lǐng)域獲得日益廣泛的應(yīng)用,為我國(guó)經(jīng)濟(jì)的發(fā)展發(fā)揮了重要的作用。在全國(guó)第二次土地調(diào)查中,遙感影像數(shù)據(jù)的作用便得到了充分的發(fā)揮。 就江蘇省而言,在第二次土地調(diào)查中,省國(guó)土資源部門(mén)積累了大量的影像數(shù)據(jù)。當(dāng)前的影像存儲(chǔ)與管理技術(shù)存在影像從獲得、入庫(kù)、處理到應(yīng)用的時(shí)間長(zhǎng),顯示效率不高的問(wèn)題,不能滿足海量影像數(shù)據(jù)的存儲(chǔ)與管理的需求,所以,如何對(duì)土地調(diào)查中的海量遙感影像數(shù)據(jù)進(jìn)行高效存儲(chǔ)與管理,縮短影像從獲取、處理到應(yīng)用的時(shí)間,提高顯示效率,成為當(dāng)前需要解決的問(wèn)題。 本文通過(guò)文獻(xiàn)綜述法、對(duì)比分析法和理論分析與實(shí)證分析相結(jié)合法對(duì)江蘇省土地調(diào)查海量影像數(shù)據(jù)的高效存儲(chǔ)與管理方法進(jìn)行研究,并用省級(jí)影像數(shù)據(jù)結(jié)合省級(jí)數(shù)據(jù)中心系統(tǒng)影像管理子系統(tǒng)進(jìn)行實(shí)驗(yàn)驗(yàn)證,具體從以下幾個(gè)方面進(jìn)行了研究： (1)對(duì)第二次土地調(diào)查江蘇省省級(jí)遙感影像數(shù)據(jù)的獲取、影像的技術(shù)標(biāo)準(zhǔn)和精度進(jìn)行介紹,進(jìn)而分析省級(jí)遙感影像數(shù)據(jù)的特征；同時(shí),對(duì)海量遙感影像數(shù)據(jù)的存儲(chǔ)與管理研究相關(guān)的理論與技術(shù),如分布式文件云存儲(chǔ)、概視圖等技術(shù),進(jìn)行闡述與分析。 (2)分析和比較當(dāng)前常用的遙感影像數(shù)據(jù)的存儲(chǔ)管理技術(shù)和存儲(chǔ)結(jié)構(gòu),指出現(xiàn)有的這些存儲(chǔ)模式存在的局限性；結(jié)合省級(jí)土地調(diào)查實(shí)際情況,分析了省土地調(diào)查影像數(shù)據(jù)的存儲(chǔ)目標(biāo)和存儲(chǔ)需求,提出采用分布式文件云存儲(chǔ)、“文件系統(tǒng)+數(shù)據(jù)庫(kù)”結(jié)合的方式進(jìn)行影像的存儲(chǔ)管理。 (3)分析目前主流的影像數(shù)據(jù)的組織管理方式和影像壓縮技術(shù),指出目前所使用的地圖瓦片技術(shù)應(yīng)用上的局限性,以及幾種影像壓縮技術(shù)的優(yōu)缺點(diǎn)；同時(shí),結(jié)合省級(jí)影像的海量性等特點(diǎn),確定采用鑲嵌數(shù)據(jù)集來(lái)組織管理影像數(shù)據(jù),并利用金字塔和概視圖相結(jié)合的索引方法來(lái)高效管理與顯示影像；分析土地調(diào)查對(duì)遙感影像壓縮的需求,并通過(guò)所選擇的幾種常用的影像壓縮技術(shù)的對(duì)比試驗(yàn),確定采用JPEG_YCbCr壓縮技術(shù)進(jìn)行影像數(shù)據(jù)的壓縮。 (4)選擇江蘇省第二次土地調(diào)查省級(jí)數(shù)據(jù)中心系統(tǒng)影像管理子系統(tǒng)作為實(shí)驗(yàn)平臺(tái),利用2009年省遙感影像數(shù)據(jù)對(duì)本文的影像存儲(chǔ)與組織管理方法進(jìn)行驗(yàn)證,并與地圖瓦片技術(shù)實(shí)驗(yàn)進(jìn)行對(duì)比,最后對(duì)實(shí)驗(yàn)結(jié)果進(jìn)行了分析。
[Abstract]:Remote sensing image data have been widely used in land resource management, ecological environment monitoring, agricultural production, earthquake relief and space exploration. For China's economic development has played an important role. In the second land survey, the role of remote sensing image data has been given full play. As far as Jiangsu Province is concerned, in the second land survey, the provincial land and resources department has accumulated a lot of image data. The current technology of image storage and management has the problems of long time of image acquisition, storage, processing and application, and low efficiency of display, which can not meet the needs of storage and management of massive image data, so, How to efficiently store and manage the massive remote sensing image data in land survey, shorten the time from acquisition, processing to application, and improve the efficiency of display have become the problems that need to be solved at present. In this paper, the efficient storage and management method of massive image data of land survey in Jiangsu Province is studied by means of literature review, comparative analysis, theoretical analysis and empirical analysis. And the provincial image data combined with the provincial data center system image management subsystem for experimental verification, specifically from the following aspects of the study: 1) introduce the acquisition of provincial remote sensing image data, the technical standard and precision of the second land survey of Jiangsu Province, and then analyze the characteristics of the provincial remote sensing image data. The theory and technology related to the storage and management of massive remote sensing image data, such as distributed file cloud storage, general view and so on, are expounded and analyzed. (2) analyzing and comparing the storage management technology and storage structure of the commonly used remote sensing image data, pointing out the limitations of the existing storage modes, combining with the actual situation of the provincial land survey, This paper analyzes the storage target and storage requirement of the image data of the provincial land survey, and puts forward the method of using the distributed file cloud storage and the "file system database" to store and manage the image. 3) analyzing the organization and management of the mainstream image data and image compression technology, pointing out the limitations of the current application of map tile technology, as well as the advantages and disadvantages of several image compression techniques, at the same time, Considering the characteristics of provincial image magnanimity, the mosaic data set is adopted to organize and manage the image data, and the index method of pyramid and general view is used to efficiently manage and display the image. This paper analyzes the demand of land survey for remote sensing image compression, and through the comparative tests of several commonly used image compression techniques, determines to use JPEG_YCbCr compression technology to compress image data. 4) selecting the image management subsystem of the provincial data center system of the second land survey of Jiangsu Province as the experimental platform, using the 2009 provincial remote sensing image data to verify the method of image storage and organization management in this paper. The experimental results are compared with those of map tile technology, and the experimental results are analyzed at last.
【學(xué)位授予單位】：南京師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：P237;P273

【引證文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

1 魏青松;大規(guī)模分布式存儲(chǔ)技術(shù)研究[D];電子科技大學(xué);2004年

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本文編號(hào)：1982524