World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Feature-based Digital Watermarking for Remote Sensing Images : Volume Xxxix-b3, Issue 1 (01/08/2012)

By Hsu, P.-h.

Click here to view

Book Id: WPLBN0004016545
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: Feature-based Digital Watermarking for Remote Sensing Images : Volume Xxxix-b3, Issue 1 (01/08/2012)  
Author: Hsu, P.-h.
Volume: Vol. XXXIX-B3, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection, Copernicus Publications
Publication Date:
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

Hsu, P., & Chen, C. (2012). Feature-based Digital Watermarking for Remote Sensing Images : Volume Xxxix-b3, Issue 1 (01/08/2012). Retrieved from

Description: Dept. of Civil Engineering, National Taiwan University, No.1, Sec. 4, Roosevelt Rd., Taipei City 10617, Taiwan. With the rapid development of information and communication technology, people can acquire and distribute many kinds of digital data more conveniently than before. The consequence is that the copyright protection which prevents digital data from been duplicated illegally should be paid much more attention. Digital watermarking is the process of embedding visible or invisible information into a digital signal which may be used to verify its authenticity or the identity of its owners. In the past, digital watermarking technology has been successfully applied to the copyright protection of multimedia data, however the researches and applications of applying digital watermarking to geo-information data are still very inadequate. In this study, a novel digital watermarking algorithm based on the scale-space feature points is applied to the remote sensing images, and the robustness of the embedded digital watermark and the impact on satellite image quality are evaluated and analysed. This kind of feature points are commonly invariant to Image rotation, scaling and translation, therefore they naturally fit into the requirement of geometrically robust image watermarking. The experiment results show almost all extracted watermarks have high values of normal correlation and can be recognized clearly after the processing of image compression, brightness adjustment and contrast adjustment. In addition, most of the extracted watermarks are identified after the geometric attacks. Furthermore, the unsupervised image classification is implemented on the watermarked images to evaluate the image quality reduction and the results show that classification accuracy is affected slightly after embedding watermarks into the satellite images.



Click To View

Additional Books

  • Managing the Global Dataset in Block-ind... (by )
  • Attitude Assessment Using Pleiades-hr Ca... (by )
  • A Novel Approach for Segmentation of Air... (by )
  • A Complete Solution of Cartographic Disp... (by )
  • Reconstruction of Sky Illumination Domes... (by )
  • Documentation of Historical Building Via... (by )
  • Agricultural Land Classification Based o... (by )
  • Ancient Rome Worldwide Links: Sharing Kn... (by )
  • Multi-quadratic Dynamic Programming Proc... (by )
  • Stitching Large Maps from Videos Taken b... (by )
  • Using a Micro-uav for Ultra-high Resolut... (by )
  • An Optimal Imaging-scheduling Algorithm ... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from World eBook Library on the Kindle are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.