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一种基于内容的遥感影像安全分发方法
引用本文:徐彦彦, 王慧颖, 徐正全. 一种基于内容的遥感影像安全分发方法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(12): 1475-1479.
作者姓名:徐彦彦  王慧颖  徐正全
作者单位:1 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079
基金项目:国家自然科学基金资助项目(41101416);国家973计划资助项目(2011CB302204);湖北省自然科学基金资助项目(2011CDB262);中国航天科技集团公司卫星应用研究院创新基金资助项目(20121689)
摘    要:联合解密与指纹嵌入(joint fingerprinting and decryption,JFD)框架能为遥感影像的安全分发提供完整的安全保护,且效率较高。但这种方案不仅导致指纹嵌入后的图像质量下降较为明显,且不能满足遥感影像的近无损性的要求。针对JFD框架的这种缺陷,本文提出了一种基于内容的遥感影像安全分发方法,对遥感影像根据内容进行分类,选取对遥感影像内容影响较小的区域嵌入指纹;提出邻域相似度的定义,选取加密后邻域相关性保持较好的区域进行部分解密,嵌入指纹。实验结果表明,利用本文提出的方案获得的嵌入指纹后的图像质量较好,且不影响遥感影像的后续应用。

关 键 词:遥感影像  安全分发  近无损  邻域相似度  加密  数字指纹
收稿时间:2013-10-20
修稿时间:2013-12-05

A Secure Distribution Method for Remote Sensing Image Based on Content
XU Yanyan, WANG Huiying, XU Zhengquan. A Secure Distribution Method for Remote Sensing Image Based on Content[J]. Geomatics and Information Science of Wuhan University, 2013, 38(12): 1475-1479.
Authors:XU Yanyan  WANG Huiying  XU Zhengquan
Affiliation:1State Key Lab of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129Luoyu Road,Wuhan 430079,China
Abstract:The joint fingerprinting and decryption(JFD)framework can provide comprehen-sive 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.Asecure distribution method for remote sensing images based on content is proposed.The im-age is partitioned into different regions,and the region which affects image content greatly isexcluded from the fingerprint embedding area.At the same time neighborhood similarity isdefined to evaluate the change of pixel correlation,areas with good neighborhood similarityafter encryption are chosen or embedded fingerprints.Experimental results show that thefingerprinted image has good image quality,and it will not affect its applications.
Keywords:remote sensing image  secure distribution  near-lossless  neighborhood similari-ty  encryption  digital fingerprint
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