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Blind Digital Watermarking Algorithm against Projection Transformation for Vector Geographic Data

Qifei Zhou, Na Ren, Changqing Zhu, A‐Xing Zhu

2020ISPRS International Journal of Geo-Information23 citationsDOIOpen Access PDF

Abstract

Projection transformation is an important part of geographic analysis in geographic information systems, which are particularly common for vector geographic data. However, achieving resistance to projection transformation attacks on watermarking for vector geographic data is still a challenging task. We proposed a digital watermarking against projection transformation based on feature invariants for vector geographic data in this paper. Firstly, the features of projection transformation are analyzed, and the number of vertices, the storage order, and the storage direction of two adjacent objects are designed and used as the feature invariant to projection transformation. Then, the watermark index is calculated by the number of vertices of two adjacent objects, and the embedding rule is determined by the storage direction of two adjacent objects. Finally, the proposed scheme performs blind detection through the storage direction of adjacent features. Experimental results demonstrate that the method can effectively resist arbitrary projection transformation, which indicates the superior performance of the proposed method in comparison to the previous methods.

Topics & Concepts

Digital watermarkingTransformation (genetics)Projection (relational algebra)Vector projectionWatermarkComputer scienceInvariant (physics)Artificial intelligenceFeature vectorAlgorithmEmbeddingComputer visionPattern recognition (psychology)MathematicsImage (mathematics)GeneMathematical physicsBiochemistryChemistryAdvanced Steganography and Watermarking TechniquesChaos-based Image/Signal EncryptionAutomated Road and Building Extraction