Simulation of SAR Image Using CHI-Square Distribution

The intensity SAR Images are highly corrupted by speckle noise, this noise modeled as a multiplicative noise with mean equal to one, and obeys to Chi-Square distribution. So can be adopting, this distribution to generate speckle noise. Then simulate the SAR image by using multiplicative noise model (i.e multiply point to point incoherent image by generated random speckle noise). The results show that the simulated SAR image look alike a real SAR image. Also, the results give a high agreement between equivalents number of looks (NL) for the generated speckle file with NL in Chi-square distribution, where (2N represent the degree of freedom of the distribution). Hence the presented method is an efficient simulation tool for intensity SAR images.