Vector point spatial data full-blind watermarking method based on grid dividing

Abstract

The invention relates to a vector point spatial data full-blind watermarking method based on grid dividing. The transform domain watermarking algorithms have the characteristic of being high in robustness. At present, most transform domain watermarking algorithms specific to linear vector space data and planer vector space data are characterized in that a watermark is embedded with a geometric object as a unit, but geometric objects of point spatial data are all independent points, and the situation that the transform domain watermarking algorithms are directly applied to the vector point spatial data watermarking can be difficultly achieved. If the whole of the point spatial data serves as a geometric object and a watermark is embedded in the geometric object, extraction of the watermark can be influenced by adding and deleting spatial points. The vector point spatial data full-blind watermarking method based on grid dividing achieves the watermark embedding and watermark extraction aims of the vector point spatial data under transform domains. The vector point spatial data full-blind watermarking method is advanced and scientific, the watermark is high in robustness and good in nonvisibility, and meanwhile the data accuracy after the watermark information is embedded can be guaranteed. An experiment shows that the vector point spatial data full-blind watermarking method has good robustness on attacks such as adding and deleting point operations, cutting, data object sequence scrambling and geometric transformation operations of the vector point spatial data, and has the good use value.

Description

technical field [0001] The invention belongs to the field of cartography and geographic information science and technology, and relates to a full-blind watermarking algorithm for transform domain vector geographic space data. [0002] Background technique [0003] Vector geospatial data is an important strategic information resource of the country, and it is the basic data of economy, military affairs, national defense construction and social development. The acquisition usually requires the help of expensive professional equipment and a lot of manpower and material resources. Therefore, its copyright protection important. Vector geospatial data is stored in digital form, which makes piracy extremely easy while facilitating data copying and dissemination. Currently, there is an urgent need for reliable technologies to secure geospatial data. [0004] Digital watermarking is considered to be an effective digital map copyright protection method. With the research on digital...

AI Technical Summary

Problems solved by technology

For point group vector space data, due to the disorder of coordinate data storage, it is difficult to directly apply the transformation domain algorithm. At present, the research mainly focuses on the space domain algorithm, but the space domain algorithm is less robust and cannot resist general geometric transformations. Therefore, this class algorithm is not practical

Images