Detection of objects on a non Rayleigh background
Sector scanning sonar systems image the sea-bottom to detect objects that can be distinguished from the background structure of the seabottom. In current systems images are displayed and discarded as new image data become available. In this report a method for improving sonar detection by utilizing all images in a sequence is investigated. The proposed method requires that sonar data are acquired with a sector scanning sonar in a sidelooking configuration. It is demonstrated that these data can be used to detectobservation point dependent changes in sea-bottom backscattering characteristics. These changes provide additional cues for discrimination that can improve the detection of objects on the sea-bottom. Results of applying the method to experimental data are presented.