测绘通报 ›› 2023, Vol. 0 ›› Issue (4): 23-28.doi: 10.13474/j.cnki.11-2246.2023.0099

• 学术研究 • 上一篇    下一篇

顾及纹理特征差异性的遥感影像数据分区域多密级加密方法

邓敏, 王晶, 唐建波, 丁晨, 杨学习, 刘慧敏, 刘宝举   

  1. 中南大学地球科学与信息物理学院, 湖南 长沙 410083
  • 收稿日期:2022-04-28 修回日期:2023-02-21 发布日期:2023-04-25
  • 通讯作者: 唐建波。E-mail:jianbo.tang@csu.edu.cn
  • 作者简介:邓敏(1974—),男,博士,教授,主要研究方向为地理空间数据挖掘与模式发现。E-mail:dengmin@csu.edu.cn
  • 基金资助:
    国家自然科学基金(42271462;42171441);湖南省自然科学基金(2021JJ40727);测绘自主可控专项项目(201904041741403306); 湖南省自然资源厅科研项目(2013-17; 2014-12;2015-09;2017-15)

A multi-level regional encryption method for remote sensing images by considering differences in texture features

DENG Min, WANG Jing, TANG Jianbo, DING Chen, YANG Xuexi, LIU Huimin, LIU Baoju   

  1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
  • Received:2022-04-28 Revised:2023-02-21 Published:2023-04-25

摘要: 针对高分辨率遥感影像在网络传输、数据分享及应用过程中的安全性问题,本文从高分辨率遥感影像自身特点出发,提出了一种顾及纹理复杂度的遥感影像分区域多密级加密算法。首先,对大数据量的遥感影像进行分块处理,并将每个子图像块按照纹理特征的复杂度划分为简单、中等和复杂类型;然后,针对不同类型的子图像块采用不同维度的混沌系统分别加密得到密文块;最后,将密文块进行关联拼接,得到整体加密后的密文图像。通过采用真实遥感影像的试验分析结果表明,本文方法能够很好地实现遥感影像的信息隐藏,并且可以兼顾加密的安全性和时间复杂度,在大数据时代面向大众化应用的高分辨率遥感影像数据共享和图像处理领域具有潜在应用价值。

关键词: 遥感影像数据加密, 混沌系统, 纹理特征, 信息熵, 分级加密

Abstract: To address the security problems of high-resolution remote sensing image in the process of network transmission, data sharing and application, this paper proposes a multi-level regional encryption method for remote sensing images by considering differences in texture features. First, the large data volume of remote sensing image is divided into blocks and each sub-image block is classified into simple, medium and complex types according to the complexity of texture features. Second, the cipher sub-image blocks are obtained by encrypting the sub-image blocks with chaotic systems of different dimensions for different types of sub-image blocks. Finally, combine the cipher sub-image blocks to obtain the overall encrypted cipher image. By using real remote sensing image for experimental analysis, the results show that the proposed algorithm not only can well achieve the information hiding of remote sensing image, but also can balance the security and time complexity of encryption, which has potential application value in the field of high-resolution remote sensing image data sharing and image processing for mass application in the era of big data.

Key words: remote sensing image data encryption, chaotic system, texture features, information entropy, multi-level encryption

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