本文選題：DOM + 幾何精度��； 參考：《南京師范大學》2013年碩士論文

【摘要】：數(shù)字正射影像圖(DOM)是對航空或航天相片進行數(shù)字微分糾正和鑲嵌,按一定圖幅范圍裁剪生成的數(shù)字正射影像集。它是同時具有地圖幾何精度和影像特征的圖像,具有精度高、信息豐富、直觀逼真、獲取快捷等優(yōu)點。隨著DOM數(shù)據(jù)的廣泛使用,其安全保護問題日益突出。本文針對DOM數(shù)據(jù)的安全保護問題,基于DOM數(shù)據(jù)結(jié)構(gòu)特征和幾何精度脫密模型的研究,構(gòu)建了DOM幾何精度脫密與恢復模型,在此基礎(chǔ)上設(shè)計并實現(xiàn)了脫密誤差控制算法和DOM幾何精度脫密與恢復算法,最后進行了系統(tǒng)實現(xiàn)與驗證。論文主要研究內(nèi)容與結(jié)論如下：(1)DOM脫密模型研究。本文在分析DOM數(shù)據(jù)模型、脫密模型與算法需求的基礎(chǔ)上,研究了幾何精度脫密模型。利用多項式曲面擬合模型并基于共線方程,構(gòu)建了DOM幾何精度脫密模型,基于共線方程的逆方程構(gòu)建了DOM幾何精度的恢復模型。(2)脫密誤差控制算法研究。確定模型參數(shù)與誤差兩者關(guān)系是保證數(shù)據(jù)按照相應指標進行幾何精度脫密的關(guān)鍵問題,本文針對構(gòu)建的混合模型中線性與非線性部分分別進行了脫密誤差控制研究,并考慮密鑰的安全性,研究并實現(xiàn)了參數(shù)的加密算法生成密鑰,實現(xiàn)了脫密的誤差控制和密鑰生成。(3)DOM脫密與恢復算法研究。DOM脫密與恢復過程主要包括新建數(shù)據(jù)、坐標轉(zhuǎn)換和像素重采樣,本文根據(jù)DOM數(shù)據(jù)的結(jié)構(gòu)特征,新建數(shù)據(jù)時添加一個波段用于存儲脫密過程中生成的高程信息,并基于脫密誤差控制算法生成的密鑰進行坐標轉(zhuǎn)換和像素重采樣,完成DOM數(shù)據(jù)脫密與恢復。(4)DOM脫密系統(tǒng)實現(xiàn)。系統(tǒng)對上述研究成果進行了驗證和實現(xiàn),主要包括密鑰生成、DOM脫密、DOM恢復等功能,通過密鑰生成完成脫密誤差控制過程,根據(jù)密鑰實現(xiàn)DOM脫密與恢復過程。本文研究的DOM幾何精度混合脫密模型,在保證數(shù)據(jù)拓撲關(guān)系基本不發(fā)生改變的前提下,根據(jù)密鑰可對DOM數(shù)據(jù)進行脫密,脫密后的數(shù)據(jù)依據(jù)密鑰可進行恢復。本方法具有隨機性、漸變性、可逆性等特點,提高了DOM柵格數(shù)據(jù)脫密的可靠性,完善了地理信息安全保護的理論與方法體系。
[Abstract]:Digital orthophoto image (DOM) is a set of digital orthophoto images, which is made by digital differential correction and mosaic of aerial or aerospace photographs, and can be clipped according to a certain range of maps. It has the advantages of high precision, abundant information, intuitionistic lifelike, quick access and so on. With the wide use of DOM data, the problem of security protection becomes more and more prominent. In this paper, aiming at the problem of DOM data security protection, based on the research of DOM data structure characteristics and geometric precision demagnetization model, a DOM geometric precision demagnetization and restoration model is constructed. On this basis, we design and implement the algorithm of densification error control and DOM geometric precision densification and recovery algorithm. Finally, the system implementation and verification are carried out. The main contents and conclusions of this paper are as follows: 1: 1 Dom demineralization model. Based on the analysis of DOM data model, demineralization model and algorithm requirements, the geometric precision demagnetization model is studied in this paper. Based on the polynomial surface fitting model and collinear equation, the DOM geometric precision densification model is constructed. Based on the inverse equation of the collinear equation, the restoration model of DOM geometric precision is constructed. Determining the relationship between the model parameters and the errors is the key problem to ensure that the data is densified according to the corresponding index. In this paper, the linear and nonlinear parts of the mixed model are studied respectively. Considering the security of the key, the encryption algorithm of parameters is studied and realized, and the error control of the key generation and the algorithm of the key generation are realized. The process of the de-encryption and recovery of .Dom mainly includes the new data. Coordinate conversion and pixel resampling. According to the structural characteristics of DOM data, we add a band to store the height information generated in the demineralization process. Based on the key generated by the de-encryption error control algorithm, coordinate transformation and pixel resampling are carried out to realize the DOM data demineralization and recovery. The system verifies and implements the above research results, mainly including the functions of key generation, Dom demagnetization, Dom recovery, etc. Through key generation, the process of de-encryption error control is completed, and the process of DOM demagnetization and recovery is realized according to the key. In this paper, the DOM geometric precision mixed demagnetization model can be used to de-encrypt the DOM data according to the key, and the data can be restored according to the key, on the premise that the topological relation of the data is not changed. The method has the characteristics of randomness, gradual change and reversibility, which improves the reliability of DOM grid data densification, and improves the theory and method system of geographic information security protection.
【學位授予單位】：南京師范大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：TP309;P209

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本文編號：1813789