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机构地区:[1]新疆大学资源与环境科学学院,新疆乌鲁木齐830046 [2]新疆国土资源信息中心,新疆乌鲁木齐830046 [3]中国地质大学(武汉)计算机学院,湖北武汉430070
出 处:《国土资源信息化》2016年第1期27-32,共6页Land and Resources Informatization
基 金:国家科技支撑计划项目"国土空间优化配置关键技术研究与示范"2012BAB11B00
摘 要:该文提出一种可有效抵抗裁剪攻击的遥感影像数字水印算法。该算法充分考虑了国土资源遥感影像的特点,在水印嵌入方案中,在传统LSB算法的基础上提出了一种改进的水印算法。把异或算子引入水印处理中,避免了传统LSB算法易于被提取被识别的缺点;在水印提取方案中,采用与哨兵位匹配技术提取出最优的水印信息。实验结果表明,该水印方案具有良好的不可见性,能有效保护国土资源遥感影像的安全性及版权问题,对影像的裁剪操作具有较强的鲁棒性,对海量数据处理具有高效性。A new land and resources remote sensing image watermarking algorithm Robust to general cropping distortions is proposed in this paper. The algorithm fully considered the characteristics of the land and resources remote sensing image in the watermark embedding procedure. It is an improved fragile watermarking algorithm based on the traditional method of least significant bit(LSB),which introduces exclusive-OR(XOR) operator in watermark process, thus avoiding the shortcomings of LSB method, such as being easily recognized and extracted; In the watermark extraction procedure, the sign matching technique is employed to extract the optimal watermark information. Experiments confirm that the watermarked image has a very good invisibility and less effect on the original image. It can protect the remote sensing image of land and resources on Safety, and copyright effectively. In addition, the watermark information embedded by the proposed scheme is robust to the general geometrical attacks such as cropping.
关 键 词:国土资源遥感影像 LSB 异或算子 抗裁剪 鲁棒性
分 类 号:TP309.7[自动化与计算机技术—计算机系统结构]
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