文献类型：会议论文

英文题名：Robust zero-watermarking technique for remotesensing image

作者：Jing, Li[1];Xiao, Huimin[1]

第一作者：景丽

通讯作者：Jing, L[1]

机构：[1]Henan Univ Finance & Econ, Coll Informat, Zhengzhou 450002, Peoples R China

第一机构：河南财经政法大学计算机与信息工程学院

通讯机构：[1]corresponding author), Henan Univ Finance & Econ, Coll Informat, WenHua Rd 80, Zhengzhou 450002, Peoples R China.|[1048412]河南财经政法大学计算机与信息工程学院;[10484]河南财经政法大学;

会议论文集：International Conference on Informational Technology and Environmental System Science

会议日期：MAY 15-17, 2008

会议地点：Henan Polytechn Univ, Jiaozuo, PEOPLES R CHINA

主办单位：Henan Polytechn Univ

语种：英文

外文关键词：zero-watermarking; robust; DWT; SIFT; LPM; geometrical distortion

摘要：As most remote sensing images are now available in digital form and delivered through Internet, copyright protection becomes a serious topic. The watermarking technique is the main method for copyright protection. But this technique does not suit remote sensing image's because presence of the watermark heavily affects the results of the applicative tasks. This paper utilizes zero-watermarking. concept to protect remote sensing data, canceling the impact on remote sensing images. Zero-watermarking technique is different from traditional digital image watermarking, which constructs a watermark from its host image, instead inserting a watermark.. The proposed scheme constructs a watermark from low-frequency coefficients in discrete wavelet transform (DWT) domain. Before DWT, we performs log-polar mapping (LPM) in the remote sensing image. It applies Scale Invariant Feature Transform (SIFT) feature descriptors to locate two local invariant keypoints which are both the reference points in correcting rotation distortion. One of them is regarded as the origin of LPM.. Extensive experiments show that our scheme is effective and outperforms the previous watermarking schemes in resisting signal process, aspect ratio change, scaling and shearing.