Noise Reduction in SAR Images Using Contourlet Transform

Synthetic Aperture Radar (SAR) images are widely used in remote sensing and environmental monitoring due to their capabilities in imaging under various conditions. However, grainy noise reduces the image quality. The aim of this research is to reduce and minimize the noise of SAR composite aperture radar images using the contourlet transform. As one of the most advanced members of the wavelet family, the contourlet transform, by combining pyramidal decomposition and directional decomposition, has a better ability to preserve image edges and curves than the classical wavelet transform. These features make the contourlet transform a suitable option for processing SAR images and removing grainy noise.

کلیدواژه ها:

Noise reduction ، SAR images ، contourlet transformation