中文摘要：

针对现有遥感图像数字水印算法多为基于图像全局的水印算法,抵抗旋转、缩放、行列剪切以及联合几何攻击能力较差的问题,提出一种基于SIFT特征区域的Contourlet域遥感图像数字水印新方法。算法选取二值数字图像作为水印图像,将二值水印图像置乱预处理后,对其进行行扫描形成一维向量作为待嵌入的水印信息;然后,在宿主遥感图像内基于SIFT提取特征点,并对其进行筛选,水印嵌入的特征区域依照确定;对选定的特征区域进行规范化、归一化后实施Contourlet变换,利用奇偶量化方法将水印信息嵌入所选的变换系数内。实验结果表明算法对JPEG压缩、噪声以及滤波等常规信号处理具有较好的鲁棒性,同时能够更好地抵抗旋转、缩放、平移及其联合等几何攻击。

英文摘要：

Against most of the existing watermarking algorithms for remote sensing image are based on global image,their resistance to rotation,scaling,ranks of shear and combined geometric attack is poor.It proposes a new watermarking scheme for remote sensing image based on Sift feature region and Contourlet transformation.It selects a binary digital image as watermark image,after scrambling the watermark image it scans the scrambled image into one-dimensional vector and then uses the binary sequence as watermark information to be embedded;secondly,it extracts Sift feature points in the host remote sensing image,filters the feature points and determines feature regions for watermark embedding;finally,the selected feature region is specified and normalized,it is applied Contourlet transformation and watermark information is embeded into the selected transform coefficients.Experiments have shown that the algorithm has good robustness against conventional signal processing such as JPEG compression,noise attacking,filtering,and etc.,at the same time it better resists to geometric attacks such as rotation,scaling,moving and their combinations.