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http://dx.doi.org/10.7780/kjrs.2010.26.5.581

Wavelet-based Fusion of Optical and Radar Image using Gradient and Variance  

Ye, Chul-Soo (School of Ubiquitous IT, Far East University)
Publication Information
Korean Journal of Remote Sensing / v.26, no.5, 2010 , pp. 581-591 More about this Journal
Abstract
In this paper, we proposed a new wavelet-based image fusion algorithm, which has advantages in both frequency and spatial domains for signal analysis. The developed algorithm compares the ratio of SAR image signal to optical image signal and assigns the SAR image signal to the fused image if the ratio is larger than a predefined threshold value. If the ratio is smaller than the threshold value, the fused image signal is determined by a weighted sum of optical and SAR image signal. The fusion rules consider the ratio of SAR image signal to optical image signal, image gradient and local variance of each image signal. We evaluated the proposed algorithm using Ikonos and TerraSAR-X satellite images. The proposed method showed better performance than the conventional methods which take only relatively strong SAR image signals in the fused image, in terms of entropy, image clarity, spatial frequency and speckle index.
Keywords
multi-sensor fusion; wavelet-based image fusion; image-level fusion; optical-sar image fusion;
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1 Li, Z., Z. Jing, G. Liu, S. Sun, and H. Leung, 2003.A region-based image fusion algorithm using multiresolution segmentation, IEEE Proc. of 2003 Intelligent Transportation Systems, pp.96-101.
2 Long, Z. and W. Guangfang, 2007. Study on adaptation of SAR/CCD image fusion algorithm, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, Proc. of SPIE vol. 6623: 66230.
3 Ye, C. S., 2009. Fusing optical and SAR images using wavelet transform and mutiscale images, Proc. of International Symposium on Remote Sensing 2009, Busan, Korea, Oct. 28-30., pp. 520-523.
4 Garzelli, A., 2002. Wavelet-based fusion of optical and SAR image data over urban area, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 34(3):59-62.
5 Gonzalez, R. C. and R. E. Woods., 2008. Digital Image Processing, Prentice Hall, New Jersey, pp. 501-502.
6 Kim, J, Y. Lee, and S. Kwak, 2005. The fusion of SAR images and optical images based on the use of wavelet transform: to improve classification accuracy, SPIE Proc. of 2005SAR Image Analysis, Modeling, and Techniques VII, vol. 5980:59800K1-K8.
7 Kutay, M. A., M. Karaman, M., and G. Bozdagi, 1993. Enhancement of images corrupted with signal dependent noise: application to ultrasonic imaging, SPIE Visual Communication and Image Processing, 2094, pp.316-323.
8 Fatone, L., P. Maponi, and F. Zirilli, 2001. Fusion of SAR/optical images to detect urban areas, Remote Sensing and Data Fusion over Urban Areas, IEEE/ISPRS Joint Workshop2001, pp. 217-221.