A despeckle filter for the Cassini synthetic aperture radar images of Titan's surface

► The images obtained using Cassini synthetic aperture radar (SAR) revealed that Titan hosts a very complex surface curved with features which resemble Earth-like geomorphological structures. However, both the material and the environmental conditions shaping their respective surfaces are considerably different between them. ► Lake-like features are observed in several swaths. ► Dark lakes are interpreted as liquid filled. ► The intended goal is to label regions in an image into three classes (dark lakes, granular lakes and the local background). First, a filtering technique is applied to obtain the restored image. Then, a method of supervised segmentation is used. The segmentation method based on the minimum Euclidean distance is used here. ► The proposed filtering and segmentation method in this paper would be a helpful tool in enhancing the return of the analysis of all SAR data acquired on Titan and other objects as well as in the exploitation of future missions to Titan.