A Method of Accuracy Reducing for Vector Data Based on Random Function

Aiming at the safety problems in the vector data sharing process, a method of accuracy reducing for vector data based on random function is proposed. The characteristics of vector data are analyzed, and then the modifying strength is chosen based on the map scale. Finally the data accuracy is reduce...

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Bibliographic Details
Main Authors: Cui Hanchuan, Xu Hui, Zhu Changqing
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
accuracy reducing
Geospatial analysis
Quantization
random function
Safety
Topology
vector data safety
Vectors
Watermarking
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Summary:Aiming at the safety problems in the vector data sharing process, a method of accuracy reducing for vector data based on random function is proposed. The characteristics of vector data are analyzed, and then the modifying strength is chosen based on the map scale. Finally the data accuracy is reduced by modifying the coordinate values based on the random function. The experiments show that this method maintains the availability of the vector data when reducing the data accuracy. It achieves the goal of protecting the data while maximizing the data sharing.
ISSN:2155-6083
2155-6091
DOI:10.1109/GCIS.2012.88