A New Method for Multi-Temporal SAR Image-Based Change Detection

Juntuan Zhang 1, 2, 3, Shiqi Huang 3 +, Guangliang Zhu 3 and Jun Lin 1
1 Texas Instruments-Jilin University DSPs Laboratory, Jilin University, 130026, Changchun, P.R. China
2 Xi’an Communication Institute, Xi’an, 710106, P.R. China
3 Xi’an Research Inst. of Hi-Tech, Hongqing Town, Xi’an, 710025, P.R. China

Abstract. Synthetic aperture radar (SAR) imaging has the characteristics of acquiring remote sensing data under all weather and all time. So SAR image change detection techniques have large advantage in abruptly natural and man-made disaster. Inherent speckle noise of SAR image badly obstructs the applications for SAR image change detection. SAR image belongs to non-Gaussian distribution in general, which accords with the conditions of independent component analysis (ICA) theory. The most important benefit is that ICA and wavelet transform both can reduce speckle noise. Therefore, a new change detection algorithm based on ICA and stationary wavelet transform (ICA-SWT-CD) for multi-temporal SAR images was proposed in this paper. The merit of the algorithm is that it is insensitive to speckle noise. Finally, the practical SAR image data is performed compare experiments and the experimental results verify that  the proposed algorithm is effective and feasible.

Keywords: SAR image, change detection, independent component analysis, stationary wavelet transform

In: Wan, Y. et al. (eds) Proceeding of the 8th international symposium on spatial accuracy assessment in natural resources and environmental sciences, World Academic Union (Press).

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