The GO-SSA Extended model for all-incidence sea clutter modeling

Angelliaume, Sébastien; Fabbro, Vincent; Soriano, Gabriel; Guérin, Charles-Antoine

doi:10.1109/igarss.2014.6947623

Cited by 9 publications

(6 citation statements)

References 10 publications

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“…In the data presented here, that have been recorded in an immature sea, similar behavior is found. To obtain an understanding of how well these experimental results fit to a model the Geometrical Optics Small Slope Approximation (GOSSA) model [5] [6] has been used with experiment conditions as input. The exact truth of the wind speed in the data from the vertical climb recordings are unknown, and therefore a shift in the curves relative to each other is expected.…”

Section: B Vertical Climbing Flight Sea-clutter Data Analysismentioning

confidence: 99%

Characterization of X-band radar sea-clutter in a limited fetch condition from low to high grazing angles

Johnsen

2015

2015 IEEE Radar Conference

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X-band radar sea-clutter data covering grazing angles from 3 to 56 degrees and 360 degrees in azimuth from an immature sea conditions with about 20 km fetch have been characterized. Clutter mean backscatter intensity and kdistribution shape parameter dependencies on geometry have been addressed. Doppler spectrum widths and behavior of Doppler spectrum in different sea states shows different behavior. A high resolution measurement in grazing angle covering a broad range presents an almost continuum of data points that fit very well with modeled mean backscatter curves.

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Section: B Vertical Climbing Flight Sea-clutter Data Analysismentioning

confidence: 99%

Characterization of X-band radar sea-clutter in a limited fetch condition from low to high grazing angles

Johnsen

2015

2015 IEEE Radar Conference

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“…This latter application has reached a mature state in the last decades with the simultaneous improvements of analytic scattering models [1], descriptions of the sea surface [2]- [4] and the ever increasing capabilities of airborne and space-borne instruments [5]. In most cases, the sea surface and scattering models provide a satisfactory agreement with the experimental observations, both from the qualitative and quantitative point of view (see [6]- [10] for the assessment of some recent airborne radar data and [11]- [13] for spaceborne data). However, some issues remain in understanding and modeling the effects of microwave ocean scattering.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Azimuthal Variations From X-Band Medium-Grazing-Angle Sea Clutter

Guerraou

Angelliaume

Rosenberg

et al. 2016

IEEE Trans. Geosci. Remote Sensing

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The Ingara X-band fully-polarimetric medium grazing angle sea clutter data set was collected in the Australian maritime environment over an angular range of 360 • in azimuth and 15 • to 45 • in grazing. This paper reports further analysis of this data set, focussing on understanding the azimuth variation to enable improved simulation accuracy and extraction of relevant geophysical parameters. This includes some original properties of the co-and cross-polarized normalized radar cross section as a function of the scattering geometry and sea surface parameters. We also assess the performances and limitations of recent sea surface scattering models in the light of this rich data set.

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“…Integration with other works on clutter signal simulation [10,13,14] is also planned in order to be able to simulate radar performance and products from first target detection to finest imagery processing .…”

Section: Fig 4 Example Of a Delocalization And Defocusing In Sar Immentioning

confidence: 99%

Radar simulation of ship at sea using MOCEM V4 and comparison to acquisitions

Cochin

Louvigne

Fabbri³

et al. 2014

2014 International Radar Conference

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Known as a useful tool to simulate SAR image, the MOCEM software has been recently extended. Now, its version 4 includes new features to simulate the radar raw data of a maritime scene composed of a ship on a dynamic sea surface. This paper describes the latest developments of the software and illustrates the work done in the context of a cooperation involving FFI (Norway) and DGA MI (France). Thanks to work done by Alyotech, MOCEM now benefits from GPU computation. This offers to take into account the ship motion in the computation of the raw data for SAR and ISAR simulations. It offers to display, in real time, the phenomena of delocalization, defocusing and deformations encountered in images when dealing with complex and realistic ship motion. In the first phase of the cooperation FFI and DGA MI have produced a methodology of how to build a 3D EM model of ships using rough CAD models (bought from internet provider). Some works have been done to adapt them to an EM application and to allocate EM properties. In a second step, simulations have been done to produce raw data to be been processed with SAR/ISAR algorithms. In parallel, real acquisitions have been done by FFI using the PicoSAR radar (bought from SELEX). In the end, simulations and measurements have been compared in order to demonstrate that simulation has reached a high level. Therefore, simulation of a new radar equipment has become a real option to optimize processing, reduce flight tests or for the training of future users, such as radar operators of a maritime patrol aircraft.

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The GO-SSA Extended model for all-incidence sea clutter modeling

Cited by 9 publications

References 10 publications

Characterization of X-band radar sea-clutter in a limited fetch condition from low to high grazing angles

Characterization of X-band radar sea-clutter in a limited fetch condition from low to high grazing angles

Investigation of Azimuthal Variations From X-Band Medium-Grazing-Angle Sea Clutter

Radar simulation of ship at sea using MOCEM V4 and comparison to acquisitions

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