Change Detection on SAR data using PCA Algorithm


  • Saurabh Srivastava Lovely Professional University
  • Vijay Kumar Lovely Professional University
  • Rahul Gupta Kanpur Institute of Technology
  • Supreet Kaur Computer Science and Enginee



PCA (Principle Component Analysis), multispectral SAR (Synthetic Aperture Radar) images, Change Detection.


In this paper, we proposed an approach for unsupervised change detection technique on SAR data. Change detection is process of automatically identifying and analyzing the regions which undergone some changes such as spatial or spectral changes. As various techniques are available to change detection but are used for general satellite images. In order to detect change on SAR images we use PCA technique which detect the change by finding the different pixel using threshold level and compare with earlier image one.


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Author Biographies

Saurabh Srivastava, Lovely Professional University

Computer Science and Engineering

Vijay Kumar, Lovely Professional University

Computer Science and Engineering\

Rahul Gupta, Kanpur Institute of Technology

Computer Science and Engineering

Supreet Kaur, Computer Science and Enginee

Computer Science and Engineering




How to Cite

Srivastava, S., Kumar, V., Gupta, R., & Kaur, S. (2013). Change Detection on SAR data using PCA Algorithm. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 4(2), 313–315.



Research Articles