SAR adapted techniques for image analysis

Most image analysis techniques, originally designed for optical images, rely on measures based on differences between pixel intensities. When applied to SAR images, these methods suffer from noise artifacts because the distribution of the difference between pixel intensities depends on the underlying image intensity. Some solutions are proposed to deal with the multiplicative nature of the speckle noise. The cases of edge detection, texture measurements and clustering techniques are discussed.