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Perceptual hash algorithm for integrity authentication of multispectral remote sensing images

Guangxue Jingmi Gongcheng/Optics and Precision engineering 2015年 23卷 677-684页

作者： Ding, Kai-Meng Zhu, Chang-Qing Su, Shou-Bao Wang, Shao-Ping School of Networks and Tele-Communication Engineering Jinling Institute of Technology Nanjing211169 China Key Laboratory of Virtual Geographic Environment of the Ministry of Education Nanjing Normal University Nanjing210023 China Jiangsu Key Laboratory of Smart Software & Cloud Service Engineering Jinling Institute of Technology Nanjing211169 China

A perceptual hashing algorithm for multispectral remote sensing images based on the synthetical characteristics of each band content was proposed to realize the authentication of multispectral images and to locate the tamper at the concrete band. Firstly, the multispectral remote sensing image was preprocessed and the feature extraction method for each band was determined by the information richness of the band. Then, the content feature of each band was extracted by edge extraction method and Discrete Cosine Transformation (DCT). Finally, the extracted feature was constructed based on the further compressed and normalized features, and the final perceptual hash value for the multispectral remote sensing image was obtained. The authentication was realized by comparing the difference between the recomputed perceptual hash value and the original hash value. The experiments indicate that the proposed algorithm can realize content integrity authentication for multispectral remote sensing images, and can locate the tamper at the concrete band of the image, which overcomes the defects of the existing perceptual hash algorithm without considering the feature of multispectral remote sensing images, and guarantees the effective utilization of multi-spectral images. © 2015, Chinese Academy of Sciences. All right reserved.

关键词： Authentication

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