Platform and mode independent SAR data processor based on the extended chirp scaling algorithm

Sanz, Jesus; Prats, Pau; Mallorquí, J.J.

doi:10.1109/igarss.2003.1295370

Cited by 6 publications

(5 citation statements)

References 10 publications

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“…1), which will be explained with more details in Section 3. Once the full polarimetric scattered fields have been computed for each satellite azimuth position, the raw data is derived and the final SAR image is generated using a SAR processor developed at the UPC [4]. The user can also select the image mode (stripmap, scansar or spotlight) and the SAR processor parameters.…”

Section: The Sar Simulator Structurementioning

confidence: 99%

Simulation of fishing vessels polarimetric signatures as first step to vessel classification

et al. 2004

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This paper presents a numerical tool able to generate realistic SAR images from accurate vessel models for a given orbital sensor. Its capability to extract high resolution radar signatures converts this SAR simulator in a useful tool for vessel classification studies and, furthermore, to define a future constellation of SAR sensors bound for carry on an automatic vessel monitoring system. This SAR simulator has low computational requirements as it is based on high frequency electromagnetic calculations making feasible to run it in a simple PC. In this paper, the main scheme of the simulator and its capability to consider the vessel velocity and the ocean waves, which can produce an important distorting effect in the final SAR images, will be presented as well as some validation results and particular aspects of vessel modeling. Finally, some examples of radar signatures of precise fishing vessel models are exposed.

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Section: The Sar Simulator Structurementioning

confidence: 99%

Simulation of fishing vessels polarimetric signatures as first step to vessel classification

et al. 2004

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“…An efficient and platform-independent code of the Extended Chirp Scaling Algorithm (ECSA) is used [24]. …”

Section: Grecosarmentioning

confidence: 99%

Assessment of Polarimetric SAR Interferometry for Improving Ship Classification based on Simulated Data

Margarit

Mallorquí²

2008

Sensors

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This paper uses a complete and realistic SAR simulation processing chain, GRECOSAR, to study the potentialities of Polarimetric SAR Interferometry (POLInSAR) in the development of new classification methods for ships. Its high processing efficiency and scenario flexibility have allowed to develop exhaustive scattering studies. The results have revealed, first, vessels' geometries can be described by specific combinations of Permanent Polarimetric Scatterers (PePS) and, second, each type of vessel could be characterized by a particular spatial and polarimetric distribution of PePS. Such properties have been recently exploited to propose a new Vessel Classification Algorithm (VCA) working with POLInSAR data, which, according to several simulation tests, may provide promising performance in real scenarios. Along the paper, explanation of the main steps summarizing the whole research activity carried out with ships and GRECOSAR are provided as well as examples of the main results and VCA validation tests. Special attention will be devoted to the new improvements achieved, which are related to simulations processing a new and highly realistic sea surface model. The paper will show that, for POLInSAR data with fine resolution, VCA can help to classify ships with notable robustness under diverse and adverse observation conditions.

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“…Its core is formed by two software modules developed at UPC, namely: 1) the electromagnetic (EM) solver GRECO [12]- [14], which fixes most of the computational requirements, and 2) a SAR processor based on the extended chirp scaling algorithm (ECSA) [15].…”

Section: Simulator Description and Validationmentioning

confidence: 99%

On the Usage of GRECOSAR, an Orbital Polarimetric SAR Simulator of Complex Targets, to Vessel Classification Studies

Margarit

Mallorquí

Rius

et al. 2006

IEEE Trans. Geosci. Remote Sensing

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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.

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Platform and mode independent SAR data processor based on the extended chirp scaling algorithm

Cited by 6 publications

References 10 publications

Simulation of fishing vessels polarimetric signatures as first step to vessel classification

Simulation of fishing vessels polarimetric signatures as first step to vessel classification

Assessment of Polarimetric SAR Interferometry for Improving Ship Classification based on Simulated Data

On the Usage of GRECOSAR, an Orbital Polarimetric SAR Simulator of Complex Targets, to Vessel Classification Studies

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