Change Detection on SAR data using PCA Algorithm

Authors

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

DOI:

https://doi.org/10.24297/ijct.v4i2a2.3177

Keywords:

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

Abstract

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

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Published

2013-04-24

Issue

Section

Research Articles

How to Cite

Change Detection on SAR data using PCA Algorithm. (2013). INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY, 4(2), 313-315. https://doi.org/10.24297/ijct.v4i2a2.3177

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