LECTURE NOTES IN COMPUTER SCIENCE

Demirkol, Aşkın; Demir, Zafer; Emre, Erol

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dc.contributor.authors	Demirkol, A; Demir, Z; Emre, E;
dc.date.accessioned	2020-02-27T07:00:24Z
dc.date.available	2020-02-27T07:00:24Z
dc.date.issued	2005
dc.identifier.citation	Demirkol, A; Demir, Z; Emre, E; (2005). LECTURE NOTES IN COMPUTER SCIENCE. IMAGE ANALYSIS AND RECOGNITION, 3656, 1207-1200
dc.identifier.isbn	3-540-29069-9
dc.identifier.issn	0302-9743
dc.identifier.uri	https://hdl.handle.net/20.500.12619/64749
dc.description.abstract	In this paper, a new Target Density Function(TDF) is theorized to image the radar targets by a new estimation algorithm. TDF is represented in a specified manner. This method is developed by inspiring of ambiguity functions. TDF is obtained in the range and scanning angle plane different from Fowle-Naparst's methods. Target density function is produced via a linear phased array radar system. This is another gain of the method. In addition to scanning, targeting and imaging properties, by this way, the problem associated with beamforming is bypassed.
dc.language	English
dc.publisher	SPRINGER-VERLAG BERLIN
dc.subject	Imaging Science & Photographic Technology
dc.title	LECTURE NOTES IN COMPUTER SCIENCE
dc.type	Proceedings Paper
dc.identifier.volume	3656
dc.identifier.startpage	1200
dc.identifier.endpage	1207
dc.contributor.department	Sakarya Üniversitesi/Mühendislik Fakültesi/Elektrik-Elektronik Mühendisliği Bölümü
dc.contributor.saüauthor	Demirkol, Aşkın
dc.contributor.saüauthor	Demir, Zafer
dc.contributor.saüauthor	Emre, Erol
dc.relation.journal	IMAGE ANALYSIS AND RECOGNITION
dc.identifier.wos	WOS:000233991100145
dc.contributor.author	Demirkol, Aşkın
dc.contributor.author	Demir, Zafer
dc.contributor.author	Emre, Erol