Multi-Temporal SAR Image Change Detection Technique Depending On NSCT Transformation and SFCM

Volume 11 Issue 3 January - March 2017

Research Paper

Multi-Temporal SAR Image Change Detection Technique Depending On NSCT Transformation and SFCM

Shaik Shamimoon*, Chandra Mohan Reddy Sivappagari**

* M.Tech Student, Department of Electronics and Communication Engineering, JNTUACEP, Pulivendula, A.P, India..

** Associate Professor, Department of Electronics and Communication Engineering, JNTUACEP, Pulivendula, A.P, India.

Shaik, S., and Sivappagari, C. M. R. (2017). Multi-Temporal SAR Image Change Detection Technique Depending On NSCT Transformation and SFCM. i-manager’s Journal on Software Engineering, 11(3), 31-39. https://doi.org/10.26634/jse.11.3.13632

Abstract

In this paper, an unsupervised change detection technique of multispectral images based on Non-Subsampled Contourlet Transform (NSCT) has been proposed. The proposed method fuses absolute difference and change vector analysis image using fusion rules. A fuzzy local-information C- means clustering algorithm will be proposed for classifying changed and unchanged regions in the fused difference image. The differencing, changes are measured by subtracting the intensity values pixel by pixel between the considered couple of temporal images. In the case of SAR images, the ratio operator is typically used instead of the subtraction operator since the image differencing technique is not adapted to the statistics of SAR images. The results will be proven that rationing generates better difference image for change detection using spatial fuzzy clustering approach and efficiency of this algorithm will be exhibited by sensitivity and correlation evaluation.