dc.contributor.author |
Baydoun, Mohammed Hussein |
dc.date.accessioned |
2012-06-13T07:10:48Z |
dc.date.available |
2012-06-13T07:10:48Z |
dc.date.issued |
2007 |
dc.identifier.uri |
http://hdl.handle.net/10938/7495 |
dc.description |
Thesis (M.E.)--American University of Beirut, Dept. of Mechanical Engineering, 2007.;"Advisor: Dr. Nesreen Ghaddar, Professor, Mechanical Engineering--Member of Committee: Dr. Fadl Moukalled, Professor, Mechanical Engineering--Member of Committee: Dr. Sam |
dc.description |
Bibliography : leaves 232-236. |
dc.description.abstract |
Landmines are a worldwide problem and their detection is an active field of rese arch whether the mines were metallic or not. Infrared imaging is considered as t he best single sensor used to detect shallow buried landmines. The strength of I R imaging is |
dc.format.extent |
xxi, 231 leaves : ill. 30 cm. |
dc.language.iso |
eng |
dc.relation.ispartof |
Theses, Dissertations, and Projects |
dc.subject.classification |
ET:004995 AUBNO |
dc.subject.lcsh |
Land mines |
dc.subject.lcsh |
Infrared imaging |
dc.subject.lcsh |
Genetic algorithms |
dc.title |
Protocol for detection and classification of buried landmines using infrared imaging - by Mohammed Hussein Baydoun |
dc.type |
Thesis |
dc.contributor.department |
American University of Beirut. Faculty of Engineering and Architecture. Department of Mechanical Engineering |