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Open AccessArticle

A Novel Infringement Detection Method for GIS Vector Data

by Zhi Tang 1,2, Yun Zhang 1,2,3,*, Jing Huang 1,2, Hao He 1,2 and Yue Ding 1,2
1
School of Geography and Tourism, Anhui Normal University, Wuhu 241002, China
2
Engineering Technology Research Center of Resources Environment and GIS, Wuhu 241002, China
3
Laboratory of Natural Disaster Process and Prevention Research of Anhui Province, Wuhu 241000, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(1), 12; https://doi.org/10.3390/ijgi9010012
Received: 13 November 2019 / Revised: 11 December 2019 / Accepted: 17 December 2019 / Published: 21 December 2019
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. View Full-Text
Keywords: geographic data sharing; copyright protection; infringement detection; feature matching; GeoJSON geographic data sharing; copyright protection; infringement detection; feature matching; GeoJSON
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Tang, Z.; Zhang, Y.; Huang, J.; He, H.; Ding, Y. A Novel Infringement Detection Method for GIS Vector Data. ISPRS Int. J. Geo-Inf. 2020, 9, 12.

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