Method for evaluating influence of information hiding capacity on measurement precision of remote sensing image

Abstract

The invention provides a method for evaluating an influence of information hiding capacity on the measurement precision of a remote sensing image. The method comprises the following steps of: performing information hiding with different capacities on data of the remote sensing image of the original carrier by a remote sensing image information hiding method based on a Forstner characteristic point, and objectively and quantitatively evaluating the quality of the remote sensing image subjected to the information hiding; and evaluating the influence of the information hiding capacity on the measurement precision of the remote sensing image by a least square matching method. Therefore, an objective and accurate reference standard is provided for design of a better information hiding algorithm; and the method is high in practical value.

Description

technical field [0001] The invention belongs to the field of digital signal and digital image processing, and in particular relates to a method for evaluating the influence of information hiding capacity on the measurement accuracy of remote sensing images; Background technique [0002] With the development of remote sensing platform and remote sensor imaging technology, the acquisition of remote sensing images has become more and more convenient, and has gradually become one of the important information sources for geospatial information data acquisition in the 21st century; general images are only a similarity to objective objects Imitation or description is an incomplete, imprecise but appropriate representation in a certain sense, and it is a highly concentrated and generalized representation of objective object information; as a "Picture" (photo, picture), an ordinary image only needs to satisfy Visual needs, and remote sensing images, in addition to being "Picture" (ph...

AI Technical Summary

Problems solved by technology

[0007] 5. Rich texture structure and complex feature structure;

[0008] 6. There is no obvious subject feature information, the information content is complex, and due to the limitations of the sensor's spatial resolution and spectral resolution, remote sensing images have a certain degree of ambiguity and ambiguity;

[0012] Looking at the research status of information hiding at home and abroad, although many results have been obtained, so far no research has been done on information hiding for digital geospatial data to maintain measurement and positioning accuracy. There is no in-depth report on applied research; due to the complexity of remote sensing image representation and the particularity of application requirements, it is required that the impact of information storage capacity on its quality must meet the accuracy requirements, that is, the "nearly lossless" requirement, which refers to the impact of hidden information on remote sensing The influence of the image application effect is measurable, that is, as long as the maximum distance (or the maximum difference of pixel value) between each pixel of the remote sensing image containing hidden information and the corresponding pixel on the original remote sensing image is within the maximum error threshold , it is considered that the data accuracy is acceptable. If the threshold is small enough, it is considered that the application results of the processed remote sensing image and the original remote sensing image are extremely close; therefore, how to evaluate the relationship between remote sensing image data measurement and The quality of positioning, how to design an information hiding algorithm that maintains measurement and positioning accuracy, and how to evaluate the relationship between information hiding capacity and remote sensing image measurement and positioning accuracy, so as to provide copyright protection, secure distribution, attack detection, authorized access, and Provide effective technical support for accountability and better promote the construction of geospatial information infrastructure, which has important research value

Images