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http://hdl.handle.net/2117/1888
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| Citació: | Margarit, G.; Mallorquí, J.J.; Rius, J.M.; Sanz-Marcos, 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. |
| Títol: | GRECO-SAR: An Orbital Polarimetric SAR Simulator of Deterministic Complex Targets for Vessel Classification Studies |
| Autor: | Margarit Martín, Gerard ; Mallorquí Franquet, Jordi Joan ; Rius Casals, Juan Manuel ; Sanz Marcos, Jesús  |
| Editorial: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Data: | 12-mai-2005 |
| Tipus de document: | Article |
| Resum: | 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. |
| ISSN: | 0196-2892 |
| URI: | http://hdl.handle.net/2117/1888 |
| Apareix a les col·leccions: | Departament de Teoria del Senyal i Comunicacions. Articles de revista RSLAB - Remote Sensing Research Group. Articles de revista
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