Research on Digital Watermarking Model and Algorithm for Vector Geographic Data

With the widespread application of geographic information technology, the copyright protection and integrity verification of vector data have become core issues that need to be addressed urgently. Traditional digital watermarking technology has mature applications in the field of raster data, but due to the complex geometric features and sensitive topological relationships of vector data, existing methods struggle to balance invisibility and robustness. This research focuses on the spatial characteristics of vector geographic data and proposes a watermarking model based on an adaptive embedding strategy. By integrating a multi-level feature selection mechanism, a watermark generation framework that takes both capacity and stability into account is constructed, and an anti-attack optimization algorithm is designed to deal with real-world threats such as geometric transformation and format migration. Experiments show that this model significantly improves the imperceptibility of the watermark while ensuring data accuracy, providing new technical support for geographic information security.