【摘要】：GIS矢量地圖數(shù)據(jù)是地理空間數(shù)據(jù)的重要組成部分,是一種重要的國家基礎(chǔ)地理信息產(chǎn)品,被廣泛應(yīng)用到了社會各個行業(yè)。然而矢量地圖數(shù)據(jù)的數(shù)字化存儲方式在為傳播、復(fù)制提供便利的同時,也給矢量地圖數(shù)據(jù)版權(quán)安全問題帶來了隱患。數(shù)字水印技術(shù)是一種版權(quán)判定與盜版追蹤的新型技術(shù),經(jīng)過大量研究和實驗,被成功應(yīng)用在空間數(shù)據(jù)版權(quán)保護問題上。居民地是地圖表達中重要的、不可或缺的地圖要素,其在城市規(guī)劃、政府決策分析、學(xué)術(shù)研究等領(lǐng)域具有重要應(yīng)用價值。而矢量居民地數(shù)據(jù)在傳播、復(fù)制過程中難免會被竊取、盜版。因此,迫切需要研究一種保護居民地數(shù)據(jù)版權(quán)的方法。目前,有關(guān)矢量地圖數(shù)據(jù)的數(shù)字水印算法研究成果豐碩,而將現(xiàn)有這些水印算法移植到居民地數(shù)據(jù)上可能會損壞居民地數(shù)據(jù)精度或?qū)е乱亻g拓?fù)潢P(guān)系的變化。鑒于此,本論文利用矢量零水印技術(shù),結(jié)合矢量居民地數(shù)據(jù)特征及現(xiàn)有水印算法缺陷,對矢量居民地數(shù)據(jù)零水印算法進行了系統(tǒng)研究。本論文取得以下一些研究成果及創(chuàng)新點:(1)考慮到傳統(tǒng)嵌入水印算法存在水印嵌入導(dǎo)致原始數(shù)據(jù)精度損失或拓?fù)潢P(guān)系的變化等不足,提出用零水印思想設(shè)計針對居民地數(shù)據(jù)的水印構(gòu)造算法。(2)在分析矢量居民地圖形特征的基礎(chǔ)上,提出一種基于頂點矢量的居民地零水印算法。其設(shè)計思路是:首先,利用Logistic混沌置亂方法對原始水印圖像做加密處理;然后,計算居民地多邊形的頂點矢量,并將所有居民地的頂點矢量映射成一個特征矩陣;最后,將該特征矩陣與置亂后的水印圖像作異或運算實現(xiàn)零水印構(gòu)造。(3)針對(2)中提出的方法存在的不足,提出一種基于不變距和Hilbert碼的矢量居民地零水印算法。其設(shè)計思路是:為增強零水印的抗裁剪能力,算法利用Hilbert編碼對數(shù)據(jù)分塊以便構(gòu)造多個零水印。每塊零水印的構(gòu)造方法為:首先,利用Arnold技術(shù)置亂原始水印圖像;然后,計算居民地圖形的矢量不變矩集并將其映射成一個二值矩陣;最后,將置亂后的水印圖像與不變矩集所映射的二值矩陣進行異或運算,完成零水印構(gòu)造。本論文分別對提出的上述兩種算法進行了魯棒性檢驗實驗,實驗結(jié)果表明,基于頂點矢量的居民地零水印算法能夠有效抵抗幾何攻擊以及一定程度的裁剪攻擊;基于不變距和Hilbert碼的矢量居民地零水印算法對幾何攻擊、一定程度裁剪攻擊以及10%以內(nèi)的增、刪點攻擊等均具有良好的抵抗能力。
[Abstract]:GIS vector map data is an important part of geospatial data, is an important national basic geographic information products, has been widely used in various sectors of society. However, the digital storage of vector map data not only facilitates the transmission and reproduction of vector map data, but also brings hidden trouble to the copyright security of vector map data. Digital watermarking is a new technology of copyright determination and piracy tracing. After a lot of research and experiments, it has been successfully applied to the protection of spatial data copyright. Residential land is an important and indispensable map element in map expression. It has important application value in urban planning, government decision analysis, academic research and so on. And vector residents in the dissemination of data, copying process will inevitably be stolen, piracy. Therefore, there is an urgent need to study a method to protect the copyright of residential data. At present, great achievements have been made in digital watermarking algorithms for vector map data. However, transplanting these watermarking algorithms to residential data may damage the precision of the data or cause the change of topological relationship between the elements. In view of this, this paper makes use of the vector zero watermark technology, combines the vector resident data characteristic and the existing watermark algorithm flaw, carries on the systematic research to the vector resident land data zero watermark algorithm. In this paper, the following research achievements and innovations have been achieved: (1) considering the shortcomings of the traditional watermark embedding algorithm, such as the loss of the original data precision or the change of the topological relationship due to the watermark embedding, In this paper, we propose a watermarking algorithm based on the idea of zero watermark. (2) based on the analysis of the shape characteristics of vector resident map, a new algorithm based on vertex vector is proposed. The design ideas are as follows: firstly, the original watermark image is encrypted by Logistic chaos scrambling method, then the vertex vector of resident polygon is calculated, and the vertex vector of all resident land is mapped into a characteristic matrix. Finally, the feature matrix is constructed by using XOR operation with the scrambled watermark image. (3) aiming at the shortcomings of the proposed method in (2), a vector resident zero watermarking algorithm based on invariant distance and Hilbert code is proposed. The design idea is: in order to enhance the anti-clipping ability of zero-watermark, the algorithm uses Hilbert coding to divide the data into blocks in order to construct multiple zero-watermark. The method of constructing every zero watermark is as follows: firstly, the original watermark image is scrambled by Arnold technology, then the vector invariant moment set of the resident map is calculated and mapped into a binary matrix. Finally, the scrambled watermark image and the binary matrix mapped by the invariant moment set are computed by XOR, and the zero watermark is constructed. In this paper, the robustness tests of the above two algorithms are carried out, and the experimental results show that the vertex vector based resident ground zero watermarking algorithm can effectively resist geometric attacks and some degree of clipping attacks. The vector resident zero watermarking algorithm based on invariant distance and Hilbert code can resist geometric attacks, clipping attacks to a certain extent and increasing and deleting attacks by less than 10%.
【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】：2017
【分類號】：P208

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本文編號：2300341