A New Subject-Sensitive Hashing Algorithm Based on Multi-PatchDrop and Swin-Unet for the Integrity Authentication of HRRS Image

A New Subject-Sensitive Hashing Algorithm Based on Multi-PatchDrop and Swin-Unet for the Integrity Authentication of HRRS Image

Transformer-based subject-sensitive hashing algorithms exhibit good integrity authentication performance and have the potential to ensure the authenticity and convenience of high-resolution remote sensing (HRRS) images. However, the robustness of Transformer-based subject-sensitive hashing is still...

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Bibliographic Details
Main Authors: Kaimeng Ding, Yingying Wang, Chishe Wang, Ji Ma
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:ISPRS International Journal of Geo-Information
Subjects:
subject-sensitive hashing
Multi-PatchDrop
patch dropout
integrity authentication
deep learning
Online Access:https://www.mdpi.com/2220-9964/13/9/336
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