A new method of SAR image speckle reduction
Xiaorong Xue, Rongchun Zhao, Qiming Zeng · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
Traditional filtering methods can't work well in Synthetic Aperture Radar (SAR) image speckle reduction due to the existence of the speckle noise. In the paper, a new method to reduce SAR image speckle is proposed by analyzing the distribution characteristic of SAR image in wavelet domain and existing spatial filtering methods. Firstly, logarithmically transformed SAR image is decomposed with wavelet transform. Secondly, to overcome the difficulty of choosing the threshold in SAR image speckle reduction based on wavelet transform, the child images decomposed are filtered with fuzzy median value filter whose filter parameters can be self-selected. Finally, according to the child images filtered, we reconstruct the image and give exponential transform, and get the SAR image filtered. The experiment results show that the new method is efficient in SAR speckle reduction.