Three-dimensional geographical pdf map zero watermarking method and system based on terrain features

By using a terrain-feature-based zero-watermarking method for 3D geographic PDF maps, and generating zero-watermark images using the TfaSR model and Arnold transform, the problem of data integrity and robustness in the copyright protection of 3D geographic PDF maps is solved, achieving copyright protection without modifying the original data.

CN116993565BActive Publication Date: 2026-07-14CHINA UNIV OF GEOSCIENCES (WUHAN)
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA UNIV OF GEOSCIENCES (WUHAN)
Filing Date
2023-03-09
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

Existing 3D geographic PDF maps lack effective zero-watermarking technology for copyright protection. Traditional digital watermarking modifies the original data and is difficult to guarantee robustness and invisibility.

Method used

A zero-watermarking method for 3D geographic PDF maps based on terrain features is adopted. The features of DEM data are extracted through the TfaSR model, and two-dimensional empirical mode decomposition and singular value decomposition are performed. The Arnold transform is combined to scramble and encrypt the data, generate a zero-watermarked image, and perform XOR processing to ensure the integrity of the original data.

Benefits of technology

It achieves copyright protection for 3D geographic PDF maps, ensuring the integrity and completeness of the original data, while improving the robustness and invisibility of the watermark.

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Abstract

The application provides a terrain feature-based three-dimensional geographic PDF map zero watermark method, comprising the following steps: obtaining map data by analyzing a three-dimensional geographic PDF map, and generating DEM data through the map data; extracting terrain features and improving data accuracy of the DEM data through a TfaSR model to obtain optimized DEM data; performing two-dimensional empirical mode decomposition on the optimized DEM data to obtain a residual matrix; performing singular value decomposition on the residual matrix to construct a binary singular value feature matrix with the same size as an original watermark, taking the binary singular value feature matrix as a binary feature image of the three-dimensional geographic PDF map; performing scrambling encryption on the original watermark through Arnold transformation to obtain an encrypted watermark; and performing exclusive OR processing on the binary feature image and the encrypted watermark to obtain a zero watermark image. The zero watermark constructed by the application for the three-dimensional geographic PDF map does not modify the original data, can be stored separately, and can well ensure the integrity and completeness of the original data.
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