High-Resolution Remote Sensing Image Integrity Authentication Method Considering Both Global and Local Features

Xingang Zhang,Hao Wang,Liming Zhang,Haowen Yan

doi:10.3390/ijgi9040254

Xingang Zhang, Hao Wang + Show 2 more

Open Access

https://doi.org/10.3390/ijgi9040254

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Abstract

Content integrity of high-resolution remote sensing (HRRS) images is the premise of its usability. Existing HRRS image integrity authentication methods are mostly binary decision-making processes, which cannot provide a further interpretable information (e.g., tamper localization, tamper type determination). Due to this reason, a robust HRRS images integrity authentication algorithm using perceptual hashing technology considering both global and local features is proposed in this paper. It extracts global features by the efficient recognition ability of Zernike moments to texture information. Meanwhile, Features from Accelerated Segment Test (FAST) key points are applied to local features construction and tamper localization. By applying the concept of multi-feature combination to the integrity authentication of HRRS images, the authentication process is more convincing in comparison to existing algorithms. Furthermore, an interpretable authentication result can be given. The experimental results show that the algorithm proposed in this paper is highly robust to the content retention operation, has a strong sensitivity to the content changing operations, and the result of tampering localization is more precise comparing with existing algorithms.

Highlights

As an important carrier of geospatial information, high-resolution remote sensing (HRRS) images have been widely used in military exploration [1], resource monitoring [2], disaster assessment [3], high-precision navigation [4] and many other fields
Many scholars have studied the integrity authentication methods of remote sensing images, and these methods are mostly based on digital signature technology [7], digital watermark technology [8], and perceptual hashing technology [9]
TPRS represents the robustness of the algorithm, that is, the probability that the data can pass the integrity authentication after content retention operations

Summary

Introduction

As an important carrier of geospatial information, high-resolution remote sensing (HRRS) images have been widely used in military exploration [1], resource monitoring [2], disaster assessment [3], high-precision navigation [4] and many other fields. With the widespread application of remote sensing image processing software and the rapid development of information sharing technology, the utilization rate of HRRS images is gradually increasing. It has more risk of being maliciously tampered than ever. If the content integrity of HRRS images is questioned, their use value will be greatly reduced [5]. How to identify the content integrity of HRRS images is an important issue. Digital signature means that the data sender describes the original data as a unique string digest through MD5, SHA-1 and other algorithms [10], and the data receiver implements integrity authentication through the digest match

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Results

Conclusion