Detection of objects on a non Rayleigh background

dc.contributor.author	Stage, Bjarne
dc.date.accessioned	2018-10-11T14:06:25Z
dc.date.available	2018-10-11T14:06:25Z
dc.date.issued	1995/12
dc.identifier	1776
dc.identifier.govdoc	SM-293
dc.identifier.uri	http://hdl.handle.net/20.500.12489/240
dc.description.abstract	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 detect
dc.description.abstract	observation 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.
dc.format	vi, 35 p. : ill. ; 11 fig.
dc.language	English
dc.publisher	NATO. SACLANTCEN
dc.subject	Target detection
dc.subject	Sonar
dc.subject	Acoustic scattering - Seafloor and sea surface
dc.subject	Signal processing
dc.subject	Sonar images
dc.title	Detection of objects on a non Rayleigh background
dc.type	Scientific Memorandum (SM)