数据流通场景下的遥感影像隐形水印技术研究进展

doi:10.19788/j.issn.2096-6369.000008

摘要/Abstract

摘要：

随着遥感技术的发展及信息传递手段的丰富，遥感影像在各种关键领域得到广泛应用。遥感影像在多端流通的过程中容易遇到来源、版权信息缺失及可靠度不明的问题，因此需要通过专门的技术手段实现数据流通过程中的确权和验证。目前，隐形图像水印是实际应用中最有效的手段之一，受到了各方研究团队的关注，其技术也不断深入完善和发展。其中，由于栅格类型影像数据的应用较多，所以相关的研究也更丰富。本文针对在数据流通场景下应用于栅格格式遥感影像的隐形图像水印技术，简要分析了其研究背景和需求，整理了研究中常用的技术指标，介绍了代表性的技术方法，并根据目前的研究和需求趋势，展望了该技术可能的发展方向。

关键词: 隐形水印, 遥感, 数据流通, 数据安全, 数据确权

Abstract:

With the development of remote sensing technology and the enrichment of information transmission methods, remote sensing images have been widely applied in various key fields. Remote sensing images are easy to face problems such as missing source and copyright information, or unclear reliability in the process of multi-terminal circulation, where technique are necessary to ensure the confirmation and verification of rights during the data circulation process. At present, invisible image watermarking is one of the most effective methods in practical applications, which has attracted the attention of various research teams, and its technology is constantly developing and improving. Among them, due to the more applications of raster type image data, scholars' research about which is also more abundant. This article briefly analyzes the research background and requirements of invisible image watermarking technology applied to raster format remote sensing images in data circulation, organizes the commonly used technical indicators in research, introduces representative research technologies, and looks forward to the possible future development of this technique based on current research and demand.

Key words: invisible watermark, remote sensing, data circulation, data security, data authentication

陆君言. 数据流通场景下的遥感影像隐形水印技术研究进展[J]. 农业大数据学报, 2024, 6(2): 220-229.

LU JunYan. Research Progress on Remote Sensing Image Invisible Watermarking Technology in Data Flow Scenarios[J]. Journal of Agricultural Big Data, 2024, 6(2): 220-229.

图/表 3

参考文献 56

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格式	可拓展性	可修改性	水印容量	嵌入效率	提取效率	可回溯性
1bit信息	/	/	低	中—高	高	/
二进制编码/字符串	中	高	中	中	中	低
图像	低	高	中	低	低	低—中
Qr码	高	高	高	中	中	高

嵌入域	嵌入效率	提取效率
图像的特征点、特征区	中	高
图像的统计特征	中	中
图像的整体结构特征	低	低

嵌入过程技术	嵌入效率	提取效率
数值代数计算的直接嵌入	高	高
通过调整数值影响特征间接嵌入水印	中	高
重复嵌入增加鲁棒性	中	中
基于几何不变性的嵌入	中	中
零水印	高	高
多途径结合的图像整体特征提取方法	低	低