A fuzzy complete SAR processing chain for ship detection and velocity estimation
Luciano Alparone, Fabrizio Argenti, Giuliano Benelli, Vito Cappellini, A. Mecocci · European Transactions on Telecommunications · 1991
Abstract Environmental monitoring by means of Remote Sensing methodologies is one of the most interesting and important application field of image processing techniques. In this field, a very important role is played by Synthetic Aperture Radar (SAR) images, that posses an high spatial resolution and that can be produced in all weather conditions. This paper presents a complete digital signal processing chain for the automatic detection of ships in SAR images and for the computation of an estimate of ship velocities. A particular attention has been devoted to two problems: the prefiltering problem which aims to reduce the speckle noise in the image, and the robustness problem that is related to the optimization of the true‐target detection/rejection capability. The whole chain has been first simulated and tested on a sequential machine, namely a Micro VAX II, and then it has been ported on a parallel architecture based on a hyper‐cube of IMS T800 transputers.