Target clasification and recognition using underwater acoustic signals

Download
index.pdf
2005
Yağcı, Tayfun
Show full item record
238
views
100
downloads
Nowadays, fulfillment of the tactical operations in secrecy has great importance for especially subsurface and surface warfare platforms as a result of improvements in weapon technologies. Spreading out of the tactical operations to the larger areas has made discrimination of targets unavoidable. Due to enlargement of the weapon ranges and increasing subtle hostile threats as a result of improving technology, أvisualؤ target detection methods left the stage to the computerized acoustic signature detection and evaluation methods. Despite this, the research projects have not sufficiently addressed in the field of acoustic signature evaluation. This thesis work mainly investigates classification and recognition techniques with TRN / LOFAR signals, which are emitted from surface and subsurface platforms and proposes possible adaptations of existing methods that may give better results if they are used with these signals. Also a detailed comparison has been made about the experimental results with underwater acoustic signals.
Electronic computers.
http://etd.lib.metu.edu.tr/upload/3/12606373/index.pdf
https://hdl.handle.net/11511/15272
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Optimization algorithms for resource allocation problem of air tasking order preparation
Bayrak, Ahmet Engin; Polat, Faruk; Department of Computer Engineering (2010)
In recent years, evolving technology has provided a wide range of resources for Military forces. However, that wideness also caused resource management difficulties in combat missions. Air Tasking Order (ATO) is prepared for various missions of air combats in order to reach objectives by an optimized resource management. Considering combinatorial military aspects with dynamic objectives and various constraints; computer support became inevitable for optimizing the resource management in air force operations...
Moving object identification and event recognition in video surveillance systems
Örten, Burkay Birant; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2005)
This thesis is devoted to the problems of defining and developing the basic building blocks of an automated surveillance system. As its initial step, a background-modeling algorithm is described for segmenting moving objects from the background, which is capable of adapting to dynamic scene conditions, as well as determining shadows of the moving objects. After obtaining binary silhouettes for targets, object association between consecutive frames is achieved by a hypothesis-based tracking method. Both of t...
Duty cycle control in wireless sensor networks
Yılmaz, Mine; Bilgen, Semih; Department of Electrical and Electronics Engineering (2007)
Recent advances in wireless communication and micro-electro-mechanical systems (MEMS) have led to the development of implementation of low-cost, low power, multifunctional sensor nodes. These sensor node are small in size and communicate untethered in short distances. The nodes in sensor networks have limited battery power and it is not feasible or possible to recharge or replace the batteries, therefore power consumption should be minimized so that overall network lifetime will be increased. In order to mi...
Generating motion-economical plans for manual operations
Canan, Özgen; Birtürk, Ayşe Nur; Department of Computer Engineering (2005)
This thesis discusses applying AI planning tools for generating plans for manual operations. Expertise of motion economy domain is used to select good plans among feasible ones. Motion economy is a field of industrial engineering, which deals with observing, reporting and improving manual operations. Motion economy knowledge is organized in principles regarding the sequences and characteristics of motions, arrangement of workspace, design of tools etc. A representation scheme is developed for products, work...
Safran: a distributed and parallel application development frameworks of hetereogeneous workstations
Gölyeri, Hamza; Bozyiğit, Müslim; Department of Computer Engineering (2005)
With the rapid advances in high-speed network technologies and steady decrease in the cost of hardware involved, network of workstation (NOW) environments began to attract attention as competitors against special purpose, high performance parallel processing environments. NOWs attract attention as parallel and distributed computing environments because they provide high scalability in terms of computing capacity and they have much smaller cost/performance ratios with high availability. However, they are har...
Citation Formats
T. Yağcı, “Target clasification and recognition using underwater acoustic signals,” M.S. - Master of Science, Middle East Technical University, 2005.
METU IIS - Integrated Information Service open@metu.edu.tr