Transformer-Based Subject-Sensitive Hashing for Integrity Authentication of High-Resolution Remote Sensing (HRRS) Images
نویسندگان
چکیده
The implicit prerequisite for using HRRS images is that the can be trusted. Otherwise, their value would greatly reduced. As a new data security technology, subject-sensitive hashing overcomes shortcomings of existing integrity authentication methods and could realize images. However, algorithm, in terms robustness, limit its application. For example, lack robustness against JPEG compression makes algorithms more passive some applications. To enhance we proposed Transformer-based algorithm. In this paper, first, designed image feature extraction network by improving Swin-Unet. Next, features were extracted improved Then, hash sequence was generated through coding method combined mapping mechanisms with principal component analysis (PCA). Our experimental results showed algorithm comparison algorithms, especially compression.
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ژورنال
عنوان ژورنال: Applied sciences
سال: 2023
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app13031815