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A Novel Infringement Detection Method for GIS Vector Data

机译:GIS矢量数据的新型侵权检测方法

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摘要

There is undoubtedly a groundswell of support for the concept of geographic data sharing with the rapid development and wide-ranging application of geographic information science. However, copyright protection and infringement detection in the process of geographic data sharing has always been an important issue that needs to be addressed urgently. In this paper, we present a novel infringement detection method for GIS vector data to compensate for the shortcomings of vector data digital watermarking technology in infringement detection. The method determines whether infringement exists by the duplication degree between the original data and the vector data to be detected in three features including feature features, included angle features and vertex features which gets by using the spatial information of vector data to perform the feature matching based on GeoJSON format data. The experimental results indicate that the proposed algorithm can effectively resist common geometric attacks, such as interpolation attack, deletion attack, similarity transformation attack, feature order scrambling attack, and feature simplification attack, on vector data, which proves that the proposed algorithm has excellent robustness and meets the requirements of practical application.
机译:毫无疑问,具有对地理数据共享的概念的支持,与地理信息科学的快速发展和广泛应用。然而,地理数据共享过程中的版权保护和侵权检测一直是迫切需要解决的重要问题。在本文中,我们提出了一种用于GIS向量数据的新型侵权检测方法,以补偿侵权检测中的矢量数据数字水印技术的缺陷。该方法确定由在包括特征特征的三个特征中的原始数据和要检测的矢量数据之间的复制程度,包括通过使用矢量数据的空间信息来执行基于特征匹配的角度特征和顶点特征的侵犯程度在地理杂志格式数据上。实验结果表明,该算法可以有效地抵抗常见的几何攻击,例如插值攻击,删除攻击,相似性转换攻击,传染媒介数据的特征顺序攻击,这证明了所提出的算法具有优异的鲁棒性并满足实际应用的要求。

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