The algorithm of SAR speckle noise suppressing by using generalized multi-scale CB morphology

During forming synthetic aperture radar (SAR) image, the inherent speckle noise severely affects the application result of SAR images. To deal with this problem, based on the contour bougie morphology (CB morphology) and the generalized multiple structuring elements morphology, a novel series morphological filter was constructed to suppress the speckle noise in SAR images. Firstly, by use of the omnidirectional multiple structuring elements the generalized multi-scale morphology open-max filter was adopted to filter the noise at the cost of minimal loss of image geometrical details, and then a CB open and a CB close series filter were used to filter the remained speckle noise. Thus it can not only effectively suppress the speckle noise in images but also preserve more detailed information of the images. Lastly, the simulated SAR images and the actual SAR images are simulated, and the results prove that the algorithm presented in this paper can efficiently suppresses the speckle noise in SAR images.