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A THREE-TIER STATISTICAL APPROACH TO VERIFYING SUSPECTED COPYING OF SPATIAL DATA

机译:验证可疑空间数据复制的三层统计方法

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Spatial data copyright and security have become very important issues in geo-information technology. Digital watermarking has been developed to protect the copyright of the data. Current researches are concentrated on raster image data and only little research on geo-referenced spatial data in vector format has been conducted. However, vector is still the most important data format for geo-information and this research is concentrated on vector data. Watermarking vector data means to add/delete or modify some features. However, a slight change resulting from data generalization or compression may corrupt the watermarks. Therefore, this paper aims to propose a simple but rather effective statistical testing approach to recognise and record suspected infringement of data copyright. This approach has proved to be effective according to the results from a number of experimental tests.
机译:空间数据的版权和安全性已成为地理信息技术中非常重要的问题。已经开发了数字水印来保护数据的版权。目前的研究集中在栅格图像数据上,而对矢量格式的地理参考空间数据的研究很少。然而,矢量仍然是地理信息最重要的数据格式,这项研究集中在矢量数据上。对矢量数据加水印意味着添加/删除或修改某些功能。但是,由数据概括或压缩导致的细微变化可能会破坏水印。因此,本文旨在提出一种简单而有效的统计测试方法,以识别和记录涉嫌侵犯数据版权的行为。根据许多实验测试的结果,该方法被证明是有效的。

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