Radon transform for internal wave detection and orientation

This paper studies the feasibility of using the Radon transform to detect and orientate internal wave features from SAR images since it seems to be well suited for extracting quasi-linear features even at low signal-to-noise levels. The approach is based on the localized Radon transform where the intensity integration is performed over short line segments rather than across the entire image. The results of this testing demonstrate the algorithm's robustness in the presence of speckle noise, as well as its ability to detect, localize, and orientate internal wave features that are significantly shorter than the image dimensions or that display some curvature.