A secure distribution method for remote sensing image based on content

被引：0
|
作者：
Xu, Yanyan [1 ]
Wang, Huiying [1 ]
Xu, Zhengquan [1 ]
机构：
[1] State Key Lab of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
来源：
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | 2013年 / 38卷 / 12期
关键词：
Image quality - Remote sensing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The joint fingerprinting and decryption (JFD) framework can provide comprehensive security protection for distribution of remote sensing images, and is highly efficient. But, this framework will lead to degradation of image quality after embedding fingerprints, and therefore cannot meet the specific near-lossless requirement of remote sensing images. A secure distribution method for remote sensing images based on content is proposed. The image is partitioned into different regions, and the region which affects image content greatly is excluded from the fingerprint embedding area. At the same time neighborhood similarity is defined to evaluate the change of pixel correlation, areas with good neighborhood similarity after encryption are chosen or embedded fingerprints. Experimental results show that the fingerprinted image has good image quality, and it will not affect its applications.
引用
收藏
页码：1475 / 1479
相关论文
共 50 条
  • [1] A Novel Active Learning Method for Content Based Remote Sensing Image Retrieval
    Demir, Begum
    Bruzzone, Lorenzo
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 2130 - 2133
  • [2] Secure Remote Sensing Image Registration Based on Compressed Sensing in Cloud Setting
    Liu, Zhanqiang
    Wang, Licheng
    Wang, Xianmin
    Shen, Xiaoying
    Li, Lixiang
    IEEE ACCESS, 2019, 7 : 36516 - 36526
  • [3] Method for selecting control points for remote sensing image registration based on distribution quality
    Guo Y.
    Gu Y.-F.
    Guan Z.-W.
    Zhang Y.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2010, 38 (12): : 50 - 55
  • [4] Study on content-based remote sensing image retrieval
    Du, PJ
    Chen, YH
    Tang, H
    Fang, T
    IGARSS 2005: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, PROCEEDINGS, 2005, : 707 - 710
  • [5] REMOTE SENSING IMAGE SEGMENTATION METHOD BASED ON HRNET
    Cheng, Zhi
    Fu, Daocai
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 6750 - 6753
  • [6] A method of remote sensing image retrieval based on ROI
    Niu, L
    Ni, L
    Lu, W
    Yuan, M
    Third International Conference on Information Technology and Applications, Vol 2, Proceedings, 2005, : 226 - 229
  • [7] Fusion method in remote sensing image based on NSST
    Gao, Guorong
    Xu, Luping
    Feng, Dongzhu
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2013, 44 (12): : 221 - 226
  • [8] Content Based Image Retrieval of Remote Sensing Images Based on Deep Features
    Goksu, Ozgu
    Aptoula, Erchan
    2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2018,
  • [9] Remote Sensing Images Secure Distribution Scheme Based on Deep Information Hiding
    Luo, Peng
    Liu, Jia
    Xu, Jingting
    Dang, Qian
    Mu, Dejun
    REMOTE SENSING, 2024, 16 (08)
  • [10] Fuzzy Content-Based Image Retrieval for Oceanic Remote Sensing
    Piedra-Fernandez, Jose A.
    Ortega, Gloria
    Wang, James Z.
    Canton-Garbin, Manuel
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (09): : 5422 - 5431
12345