With the development of sonar technology, images have been widely used to detect targets. However, there are many challenges for in terms object detection. For example, detectable targets data more sparse than those optical images, real underwater scanning experiment is complicated, and image styles produced by different types equipment due their characteristics inconsistent, which makes it dif...

This thesis represents my own work in accordance with University Regulations.

Sound reception was investigated in the Yangtze finless porpoise (Neophocaena phocaenoides asiaeorientalis) at its most sensitive frequency. The computed tomography scanning, sound speed, and density results were used to develop a three-dimensional numerical model of sound-reception system. acoustic fields showed that sounds can reach ear complexes from various pathways, with distinct receptivi...

This work presents a new approach to reconstructing surfaces of underwater structures from stereo images and sonar scans collected with a micro-ROV on the islands of Malta and Gozo. Using a limited sensor load, sonar and small GoPro Hero2 cameras, the micro-ROV is able to explore small hard to reach water systems and gather data. Our algorithm is able to reconstruct geometric models of explored...

This paper is concerned with the problem of recognition of objects laying on the sea-bed and presented on sonar images. Considering that high resolution sonar system provides acoustic images of high-quality, several researches have been interested in Synthetic Aperture Sonar (SAS) and Sides can sonar images for underwater objects. This work presents recent detection algorithms targeting their m...

In radar and sonar signal processing it is of interest to achieve accurate estimation of signal characteristics. Recorded pulse data have uncertainties due to emitter and receiver noise, and due to digital sampling and quantization in the receiver system. It is therefore important to quantify these effects through theory and experiment in order to construct “smart” pulse processing algorithms w...

source localization is an essential part of array signal processing including radar, sonar, seismology and oceanography applications. the performance of the presented source localization methods are degraded substantially in practical situations. one of the conditions which decreases the performance o