Semi-U-Net: A Lightweight Deep Neural Network for Subject-Sensitive Hashing of HRRS Images

• Published in: IEEE access Vol. 9; pp. 60280 - 60295
• Main Authors: Ding, Kaimeng, Su, Shoubao, Xu, Nan, Jiang, Tingting
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; Authentication; Computational efficiency; Computational modeling; Computing costs; Convolution; Cryptography; Data mining; Feature extraction; Hash based algorithms; HRRS image; Image resolution; Integrity; integrity authentication; lightweight deep neural network; Mathematical models; Neural networks; Parameters; Remote sensing; Subject-sensitive hashing; U-net

As a special case of perceptual hashing algorithm, subject-sensitive hashing can realize "subject-biased" integrity authentication of high resolution remote sensing (HRRS) images, which overcomes the deficiencies of existing integrity authentication technologies. However, the existing deep...