Abstract
In order to obtain information effectively from radar imagery, we propose a target extraction method based on the shape of reflected echoes and their motion. Our method exploits knowledge that targets are isolated regions and are stable temporally and spatially while conventional methods are based on intensity of reflected echoes. Morphological operations such as Quoit filter and segmentation enable the method to extract targets from images that include clutter in bad weather, weak echoes from small vessels and the regions divided by bridges and breakwaters. We conducted an experiment using datasets generated from radar imagery, which contain clutter and artificial structures. The result showed that our method outperformed a conventional one in the evaluation scale of recall, precision and F measure.
