A Valuable approach for Image Processing and Change Detection on Synthetic Aperture Radar Data
Pages : 512-516
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 traditional techniques are available to detect change on satellite images. In order to detect change on SAR images we use PCA technique which involve Singular Value Decomposition Method (SVD) method to process the images. After that we compare the images pixel by pixel and find out the changed pixels and map those pixels to display the changed map.
Keywords: PCA (Principle Component Analysis), SVD (Singular Value Decomposition), multispectral SAR (Synthetic Aperture Radar) images, Change Detection.
Article published in International Journal of Current Engineering and Technology, Vol.3,No.2 (June- 2013)