Deep Subject-Sensitive Hashing Network for High-Resolution Remote Sensing Image Integrity Authentication

• Published in: IEEE geoscience and remote sensing letters Vol. 21; pp. 1 - 5
• Main Authors: Xu, Dingjie, Chen, Sheng, Zhu, Changqing, Li, Hui, Hu, Luanyun, Ren, Na
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Authentication; CBAM; Construction; Deep learning; Feature extraction; High resolution; high-resolution remote sensing (HRRS) image; Image coding; Image resolution; Integrity; integrity authentication; Machine learning; Remote sensing; Robustness; Sensitivity; subject-sensitive hashing; Training

For ensuring the integrity of high-resolution remote sensing (HRRS) images, the perceptual hash method offers a dual advantage. It preserves the nondestructive nature of the original image while also ensuring robustness to content-preserving operations. However, current deep learning-based HRRS imag...