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On the usage of GRECOSAR: an orbital polarimetric SAR simulator of complex targets for vessel classification studies
dc.contributor.author | Margarit Martín, Gerard |
dc.contributor.author | Mallorquí Franquet, Jordi Joan |
dc.contributor.author | Rius Casals, Juan Manuel |
dc.contributor.author | Sanz Marcos, Jesús |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2008-02-20T11:21:57Z |
dc.date.available | 2008-02-20T11:21:57Z |
dc.date.created | 2005-05-12 |
dc.date.issued | 2006-12-31 |
dc.identifier.citation | Margarit, G.; Mallorquí, J. J.; Rius, J.M; Sanz, J. On the usage of GRECOSAR: an orbital polarimetric SAR simulator of complex targets for vessel classification studies. IEEE Transactions on Geoscience and Remote Sensing, 2006, vol. 44, núm. 12, p. 3517-3526. |
dc.identifier.issn | 0196-2892 |
dc.identifier.uri | http://hdl.handle.net/2117/1650 |
dc.description.abstract | This paper presents a synthetic aperture radar (SAR) simulator that is able to generate polarimetric SAR (POLSAR) and polarimetric inverse SAR data of complex targets. It solves the electromagnetic problem via high-frequency approximations, such as physical optics and the physical theory of diffraction, with notable computational efficiency. In principle, any orbital monostatic sensor working at any band, resolution, and operating mode can be modeled. To make simulations more realistic, the target’s bearing and speed are considered, and for the particular case of vessels, even the translational and rotational movements induced by the sea state. All these capabilities make the simulator a powerful tool for supplying large amounts of data with precise scenario information and for testing future sensor configurations. In this paper, the usefulness of the simulator on vessel classification studies is assessed. Several simulated polarimetric images are presented to analyze the potentialities of coherent target decompositions for classifying complex geometries, thus basing an operational algorithm. The limitations highlighted by the results suggest that other approaches, like POLSAR interferometry, should be explored. |
dc.format.extent | 3517-3526 |
dc.language.iso | eng |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar |
dc.subject | Àrees temàtiques de la UPC::Nàutica::Navegació marítima::Instrumentació i equipament per a la navegació |
dc.subject.lcsh | Radar simulators |
dc.subject.lcsh | Image reconstruction Data processing. |
dc.subject.other | GRECOSAR |
dc.subject.other | Graphical electromagnetic computation SAR |
dc.subject.other | Complex geometry classification |
dc.subject.other | Coherent target decompositions (CTD) |
dc.subject.other | Image classification |
dc.subject.other | Orbital monostatic sensor |
dc.subject.other | Polarimetric inverse SAR |
dc.subject.other | Polarimetric SAR |
dc.subject.other | Physical theory of diffraction |
dc.subject.other | Radar polarimetry |
dc.subject.other | Remote sensing by radar |
dc.subject.other | SAR simulations |
dc.subject.other | Sea state |
dc.subject.other | Sensor configurations |
dc.subject.other | Ships |
dc.subject.other | POLSAR interferometry |
dc.subject.other | Physical optics |
dc.title | On the usage of GRECOSAR: an orbital polarimetric SAR simulator of complex targets for vessel classification studies |
dc.type | Article |
dc.subject.lemac | Simuladors de radar |
dc.subject.lemac | Imatge -- Processament -- Tècniques digitals |
dc.subject.lemac | SAR (Synthetic Aperture Radar) |
dc.contributor.group | Universitat Politècnica de Catalunya. ANTENNALAB - Grup d'Antenes i Sistemes Radio |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
dc.relation.projectidctt | Q5RS-2001-02266 |
dc.relation.projectidctt | TIC2002-04451-C02-01 |
dc.relation.projectidctt | TEC2005-06863-C02-01 |
dc.relation.projectidctt | AP2002-2313 |
local.personalitzacitacio | true |
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