AGIM-net based subject-sensitive hashing algorithm for integrity authentication of HRRS images-Reference-Cited by-同舟云学术

AGIM-net based subject-sensitive hashing algorithm for integrity authentication of HRRS images

Published:2023-01-19 Issue:1 Volume:38 Page:
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Ding Kaimeng¹²,Zeng Yue¹,Wang Yingying¹,Lv Dong³,Yan Xinyun¹²

Affiliation:

1. Jinling Institute of Technology, Nanjing, China

2. Jiangsu AI Transportation Innovations & Applications Engineering Research Center, Nanjing, China

3. HeBei Branch of China National Geological Exploration Center of Building Material Industry, Baoding, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2023.2168071

Reference46 articles.

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2. Recurrent residual U-Net for medical image segmentation;Alom MZ;J Med Imaging (Bellingham),2019

3. A modified (Dual) fusion technique for image encryption using SHA-256 hash and multiple chaotic maps

4. AAU-Net: Attention-Based Asymmetric U-Net for Subject-Sensitive Hashing of Remote Sensing Images

5. A Subject-Sensitive Perceptual Hash Based on MUM-Net for the Integrity Authentication of High Resolution Remote Sensing Images

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