A Geospatial Data Watermarking Method Based on Byte Stream
A geospatial data and byte stream technology, applied in image data processing, image data processing, instruments, etc., can solve the problem of geospatial data use authority control flow tracking and other issues
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Embodiment 1
[0051] In the embodiment of the present invention, the digital raster map is selected as the experimental data, and the whole process of data reading, preprocessing, watermark information generation, watermark embedding, watermark data storage, watermark detection, detection result output, and watermark removal is given. An embodiment of the present invention is presented, and the present invention is further described in detail.
[0052] Such as image 3 and Figure 4 As shown, in this embodiment, a digital grid map with a size of 698×654 is selected as the experimental data. For this piece of data, the mapping step size N is set to 8.
[0053] 1. The watermark information generation of the present invention:
[0054] Step 1: Generate a random number, which is unique and forms a one-to-one relationship with each user;
[0055] Step 2: Based on the random number, use the random sequence generator to generate a pseudo-random binary sequence, and convert the pseudo-random bi...
Embodiment 2
[0088] Such as figure 1 and figure 2 As shown, the purpose of the present invention is: the solutions proposed by the current watermarking technology research institute are all based on the traditional digital watermarking idea, which is a passive data copyright management and usage tracking mechanism, and cannot control the geospatial data in the circulation process. The use of permissions cannot achieve the purpose of actively controlling users' access to correct geospatial data, and does not take into account the diversity of geospatial data sources, and the complexity of watermark embedding methods for different feature data. Aiming at this problem, a new type of geospatial data watermarking method based on byte stream is invented. This watermarking method has better robustness, and can effectively reduce the availability of geospatial data, and better solve the problem of geospatial data. Issues such as access control and flow tracking in the circulation process.
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