Klassifisering av skip ved bruk av ISAR

dc.contributor	Knapskog, Atle Onar	en_GB
dc.date.accessioned	2018-10-18T09:28:03Z
dc.date.available	2018-10-18T09:28:03Z
dc.date.issued	2003
dc.identifier	805
dc.identifier.isbn	82-464-0764-3	en_GB
dc.identifier.other	2003/00812
dc.identifier.uri	http://hdl.handle.net/20.500.12242/1627
dc.description.abstract	ISAR (Inverse Synthetic Aperture Radar) is a radar mode for high-resolution imaging of moving targets. Airborne ISAR has a potential for long-range ship classification. This report presents a method for automatic ship classification. The theoretical basis is examined and an implemented algorithm is described. Our approach to automatic classification is based on 3-dimensional wire-frame models. The models are built from photographs using the commercial software PhotoModeler. The classification algorithm includes the following steps: The ISAR image is analysed, and specific features are extracted. The results are used for transforming the wire-frame models to the ISAR image projection plane. The silhouettes of the ISAR image and the transformed models are compared, and the best match is presented to the user.	en_GB
dc.language.iso	nob	en_GB
dc.title	Klassifisering av skip ved bruk av ISAR	en_GB
dc.subject.keyword	Radar - ISAR	en_GB
dc.subject.keyword	Klassifisering	en_GB
dc.source.issue	2003/00812	en_GB
dc.source.pagenumber	46	en_GB