DOM几何精度脱密模型与算法研究

发布时间：2018-04-28 04:35

本文选题：DOM + 几何精度　；参考：《南京师范大学》2013年硕士论文

【摘要】：数字正射影像图(DOM)是对航空或航天相片进行数字微分纠正和镶嵌,按一定图幅范围裁剪生成的数字正射影像集。它是同时具有地图几何精度和影像特征的图像,具有精度高、信息丰富、直观逼真、获取快捷等优点。随着DOM数据的广泛使用,其安全保护问题日益突出。本文针对DOM数据的安全保护问题,基于DOM数据结构特征和几何精度脱密模型的研究,构建了DOM几何精度脱密与恢复模型,在此基础上设计并实现了脱密误差控制算法和DOM几何精度脱密与恢复算法,最后进行了系统实现与验证。论文主要研究内容与结论如下：(1)DOM脱密模型研究。本文在分析DOM数据模型、脱密模型与算法需求的基础上,研究了几何精度脱密模型。利用多项式曲面拟合模型并基于共线方程,构建了DOM几何精度脱密模型,基于共线方程的逆方程构建了DOM几何精度的恢复模型。(2)脱密误差控制算法研究。确定模型参数与误差两者关系是保证数据按照相应指标进行几何精度脱密的关键问题,本文针对构建的混合模型中线性与非线性部分分别进行了脱密误差控制研究,并考虑密钥的安全性,研究并实现了参数的加密算法生成密钥,实现了脱密的误差控制和密钥生成。(3)DOM脱密与恢复算法研究。DOM脱密与恢复过程主要包括新建数据、坐标转换和像素重采样,本文根据DOM数据的结构特征,新建数据时添加一个波段用于存储脱密过程中生成的高程信息,并基于脱密误差控制算法生成的密钥进行坐标转换和像素重采样,完成DOM数据脱密与恢复。(4)DOM脱密系统实现。系统对上述研究成果进行了验证和实现,主要包括密钥生成、DOM脱密、DOM恢复等功能,通过密钥生成完成脱密误差控制过程,根据密钥实现DOM脱密与恢复过程。本文研究的DOM几何精度混合脱密模型,在保证数据拓扑关系基本不发生改变的前提下,根据密钥可对DOM数据进行脱密,脱密后的数据依据密钥可进行恢复。本方法具有随机性、渐变性、可逆性等特点,提高了DOM栅格数据脱密的可靠性,完善了地理信息安全保护的理论与方法体系。
[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.
【学位授予单位】：南京师范大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP309;P209

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