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

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...

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Vydané v:	IEEE geoscience and remote sensing letters Ročník 21; s. 1 - 5
Hlavní autori:	Xu, Dingjie, Chen, Sheng, Zhu, Changqing, Li, Hui, Hu, Luanyun, Ren, Na
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
ISSN:	1545-598X, 1558-0571
On-line prístup:	Získať plný text
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