本文關(guān)鍵詞： 矢量地圖 道路網(wǎng) 版權(quán)保護 數(shù)字指紋 自動綜合　出處：《蘭州交通大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：近些年，網(wǎng)絡(luò)地理信息系統(tǒng)的飛速發(fā)展使得地圖數(shù)據(jù)的傳輸變得快速而便捷，地圖數(shù)據(jù)的網(wǎng)絡(luò)發(fā)布、地圖數(shù)據(jù)在部門與部門之間及部門與社會個體之間交易中的拷貝和分發(fā)成為普遍存在的行為，這給地理空間數(shù)據(jù)的版權(quán)保護提出了更高的要求。 在地理信息產(chǎn)業(yè)、軍事及國防領(lǐng)域，矢量地圖數(shù)據(jù)作為國家空間數(shù)據(jù)基礎(chǔ)設(shè)施的關(guān)鍵內(nèi)容，其分發(fā)、傳播中如何同時確認(rèn)數(shù)據(jù)的所有者、合法/非法使用者和非法傳播者是地理信息科學(xué)中一個迫在眉睫的課題。 為了防止矢量地圖數(shù)據(jù)的非法復(fù)制和傳播，就需要研究高效的地圖數(shù)據(jù)安全保護策略。在地理信息科學(xué)的技術(shù)層面上，即表現(xiàn)為如何識別出被傳播數(shù)據(jù)的所有者、合法使用者、非法使用者與非法傳播者。由于數(shù)字水印與密碼無法識別數(shù)據(jù)的非法復(fù)制者和非法傳播者，而數(shù)字指紋技術(shù)可以完美實現(xiàn)該目標(biāo)。因此，這個矢量地圖數(shù)據(jù)安全保護問題的解決有賴于數(shù)字指紋技術(shù)。 為此，本論文面向矢量地圖生產(chǎn)與應(yīng)用的實際，選擇顧及尺度變換的矢量地圖道路網(wǎng)數(shù)據(jù)數(shù)字指紋嵌入技術(shù)，進(jìn)行如下研究： （1）研究矢量地圖道路網(wǎng)數(shù)據(jù)的拓?fù)浣Y(jié)構(gòu)，分析了道路網(wǎng)自動綜合的結(jié)果。將道路網(wǎng)分為主干道和支干道，地圖綜合（由大比例尺向小比例尺轉(zhuǎn)化）的過程中，主干道上的點受到的影響�。ㄒ话惚槐Ａ簦Ц傻郎系狞c受到的影響大（通常被刪除）。顯而易見，若以支干道上的點作為數(shù)字指紋信息嵌入點，當(dāng)?shù)貓D尺度變換中支干道上的一些點被刪除，嵌入其上的指紋信息也會丟失，這將導(dǎo)致指紋信息缺失。因此，考慮地圖綜合的影響，應(yīng)該在被保留的點上嵌入指紋信息，最大程度保證指紋信息不會丟失。但是，，也不能在所有被保留的點上都嵌入指紋信息，為了提高嵌入算法的效率，主要考慮在主干道和支干道上的特殊點嵌入指紋信息。 （2）提出一種高效的道路網(wǎng)指紋信息嵌入點選取方法。研究在尺度變換過程中，道路網(wǎng)中的哪些點是關(guān)鍵點（即坐標(biāo)不容易隨尺度變化的點，因為在這些關(guān)鍵點上嵌入數(shù)字指紋才能夠使指紋盡可能大地抵御地圖尺度變換），以及如何快速、有效選取指紋信息嵌入關(guān)鍵點。從而為矢量地圖道路網(wǎng)數(shù)據(jù)安全保護起到一定的促進(jìn)作用。
[Abstract]:In recent years, with the rapid development of the network geographic information system, the transmission of map data becomes fast and convenient. The copying and distribution of map data in the transaction between departments and departments and between departments and social individuals has become a common behavior, which puts forward higher requirements for copyright protection of geospatial data. In the field of geographic information industry, military and national defense, vector map data, as a key element of national spatial data infrastructure, is distributed and disseminated how to identify the owner of the data at the same time. Legal / illegal users and illegal communicators are an urgent subject in geographic information science. In order to prevent the illegal reproduction and dissemination of vector map data, it is necessary to study the efficient map data security protection strategy, on the technical level of geographic information science. That is, how to identify the owner, the legal user, the illegal user and the illegal communicator of the transmitted data, because the digital watermark and password can not identify the illegal replicator and the illegal communicator of the data. The digital fingerprint technology can achieve this goal perfectly, therefore, the solution to the problem of the vector map data security protection depends on the digital fingerprint technology. For this reason, this paper chooses the vector map road network data digital fingerprint embedding technology which takes into account the scale transformation to face the reality of vector map production and application, and carries on the following research: 1) the topological structure of vector map road network data is studied, and the result of road network automatic synthesis is analyzed. The road network is divided into main road and branch road. In the process of map synthesis (from large scale to small scale), the points on the main road are less affected (generally retained, while the points on the trunk road are affected greatly (usually deleted). If the point on the trunk road is used as the embedding point of digital fingerprint information, when some points on the trunk road are deleted in the map scale transformation, the fingerprint information embedded on the branch road will also be lost, which will lead to the lack of fingerprint information. Considering the influence of map synthesis, fingerprint information should be embedded in the reserved points to ensure that fingerprint information will not be lost to the maximum extent. However, fingerprint information cannot be embedded in all reserved points. In order to improve the efficiency of the embedding algorithm, the fingerprint information is mainly embedded at the special points on the main roads and branch roads. In this paper, an efficient method for selecting the embedded points of fingerprint information in road network is proposed, and the key points in the road network are studied in the process of scale transformation (that is, the coordinates are not easy to change with the scale). Because embedding digital fingerprint on these key points can make the fingerprint resist map scale transformation as much as possible and how fast. Fingerprint information is effectively selected to embed the key points, thus playing a certain role in promoting the data security protection of vector map road network.
【學(xué)位授予單位】：蘭州交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P208

【共引文獻(xiàn)】

相關(guān)期刊論文 前1條

1 田晶;張泊宇;楊雯雨;;對自組織映射聚類實現(xiàn)道路網(wǎng)網(wǎng)格模式識別[J];武漢大學(xué)學(xué)報(信息科學(xué)版);2013年11期

本文編號：1455806