The microwave Synthetic Aperture Radar (SAR) is a type of active remote sensing. It has its own energy source for illumination. It receives the radiation reflected from the target on the ground surface. It generates a very high resolution imagery of the Earth. It enables observation in all types of weather condition, day and night capabilities. Image filtering is very important field in SAR image processing. Synthetic Aperture Radar (SAR) data are affected by speckle noise. The speckle appearing in SAR image is due to the interference reflected waves. This noise complicates the problem of interaction of the image by reducing the exactitude of information. That is why speckle reducing is necessary before image analysis because speckle filtering of SAR image has a great impact on the accuracy. This paper proposes comparison between Gaussian and Box-car filter to remove speckle in SAR image. The results of both filters are analyzed and the implication of statistical parameters is compared. It includes Mean, Median, Standard Deviation, Coefficient Variance and Equivalence Number of Looks (ENL). The overall process is applied on microwaveradar frequency X-band Dual Pole (HH/VV) TerraSAR-X of Sanchagang China; PolSAR dataset is used.
