Edge detection of real synthetic aperture radar images through filtered back projection

Detecting edges is an important task in processing images in order to see objects from SAR data. In this work, the received data is first filtered and then back-projected. The edges are detected in both the x and y directions and results shown. SAR segmented images generated using this technique, are provided from a publicly available SAR data set. In our work, this technique is applied on real SAR data with significant results.