Efficient change detection using Principal Component Analysis-based approach

Pao Yue-kong Library Electronic Theses Database

Efficient change detection using Principal Component Analysis-based approach

 

Author: Hu, Chen
Title: Efficient change detection using Principal Component Analysis-based approach
Degree: M.Sc.
Year: 2011
Subject: Hong Kong Polytechnic University -- Dissertations
Principal components analysis
Remote sensing
Department: Dept. of Land Surveying and Geo-Informatics
Pages: vii, 59 leaves : ill. (some col.) ; 30 cm.
InnoPac Record: http://library.polyu.edu.hk/record=b2412274
URI: http://theses.lib.polyu.edu.hk/handle/200/5974
Abstract: Change detection techniques based on remote sensing data have been developed for several decades and provided important information for planning and decision-making. In practical applications, some analysts and researchers need a rough and quick detection to locate the change areas for a further detailed analysis. Thus, an efficiency method is needed to fulfill this requirement. This study describes an investigation into the efficiency and effectiveness of a methodology based on Principal Component Analysis (PCA). An experiment test has been conducted for the efficiency and effectiveness evaluation of this method. In this experiment, five pairs of multidate image samples with different sizes are performed by both PCA-based approach and post-classification comparison. It is found that PCA-based method can provide a significant improvement in efficiency. It is also noticed that PCA-based approach are slightly better in accuracy performance, which has proven its effectiveness in detecting changes.

Files in this item

Files Size Format
b24122749.pdf 2.423Mb PDF
Copyright Undertaking
As a bona fide Library user, I declare that:
  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

     

Quick Search

Browse

More Information