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

• Published in: ISPRS international journal of geo-information Vol. 13; no. 9; p. 336
• Main Authors: Ding, Kaimeng, Wang, Yingying, Wang, Chishe, Ma, Ji
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2024
• Subjects: Algorithms; Computational linguistics; deep learning; dropouts; exhibitions; Hash based algorithms; image analysis; Image resolution; Image retrieval; Integrity; integrity authentication; Language processing; Multi-PatchDrop; Natural language interfaces; Neural networks; patch dropout; Performance enhancement; Remote sensing; Robustness; subject-sensitive hashing; tampering; Transformers; China

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...