Software docente para el reconocimiento de objetos sumergidos fabricados por el hombre mediante el procesado de imagen de un sonar de barrido lateral de simple haz

Abstract

The knowledge about digital images provided by onboard sidescan sonar in unmanned undersea vehicles (UUVs), usually, is far away of educational purposes. Our research team demonstrates in previous papers that this target is possible at affordable cost. This communication shows how the educational software developed by our team, have been enhanced in terms of implementation the state of the art in underwater recognition techniques, including manmade submerged objects, to improve the skills or our students. This work shows an economical solution for this problem by using digital image processing techniques under MATLAB environment. Results are comparable in quality with the commercial expensive hardware solutions. The application presented here is easy to use and has been developed under “user friendly” philosophy and could be operated for users at any level.