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Ladroit, Yoann; Sintes, Christophe; Lurton, Xavier; Garello, Rene. |
Sonar signal simulation is an important area of research for industrials and scientific of the domain. Indeed, it can be used in many ways by sonar manufacturers, both for designing a system or in order to explain physical phenomenon on data. Therefore, by minimizing the expensive testing time at sea, a well designed simulator can be a very interesting financial asset. Traditional sonar signal simulation also contains problems to be dealt with. It is often necessary to find a balance between the computational power consumption, the needed accuracy of the physical phenomenon description and the scale at which simulated signals are relevant. In our simulation model we propose a solution based on a very dense grid (resolution of about the concerned... |
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Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00106/21727/20274.pdf |
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Ladroit, Yoann; Lurton, Xavier; Sintes, Christophe; Augustin, Jean-marie; Garello, Rene. |
For modern multibeam echosounders, the use of a robust and reliable quality estimator associated with each sounding is an absolute necessity. Indeed, due to the large volume of data acquired, a lot of time is lost, both during the survey and the post-processing. This is a costly problem for hydrographers. The definition of a quality estimator based on the characteristics of the beamformed signal gives an answer to this problem. It has been successfully implemented by several sonar manufacturers and its relevance in measuring the quality of each sounding has been demonstrated. The defined Quality Factor can also be used directly in the sonar measurement process, such as in detection algorithm, in order to improve the performance of the systems. This makes... |
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Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00106/21728/20275.pdf |
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Pearlman, Jay; Bushnell, Mark; Coppola, Laurent; Karstensen, Johannes; Buttigieg, Pier Luigi; Pearlman, Francoise; Simpsons, Pauline; Barbier, Michele; Muller-karger, Frank E.; Munoz-mas, Cristian; Pissierssens, Peter; Chandler, Cyndy; Hermes, Juliet; Heslop, Emma; Jenkyns, Reyna; Achterberg, Eric P.; Bensi, Manuel; Bittig, Henry C.; Blandin, Jerome; Bosch, Julie; Bourles, Bernard; Bozzano, Roberto; Buck, Justin J. H.; Burger, Eugene F.; Cano, Daniel; Cardin, Vanessa; Llorens, Miguel Charcos; Cianca, Andres; Chen, Hua; Cusack, Caroline; Delory, Eric; Garello, Rene; Giovanetti, Gabriele; Harscoat, Valerie; Hartman, Susan; Heitsenrether, Robert; Jirka, Simon; Lara-lopez, Ana; Lanteri, Nadine; Leadbetter, Adam; Manzella, Giuseppe; Maso, Joan; Mccurdy, Andrea; Moussat, Eric; Ntoumas, Manolis; Pensieri, Sara; Petihakis, George; Pinardi, Nadia; Pouliquen, Sylvie; Przeslawski, Rachel; Roden, Nicholas P.; Silke, Joe; Tamburri, Mario N.; Tang, Hairong; Tanhua, Toste; Telszewski, Maciej; Testor, Pierre; Thomas, Julie; Waldmann, Christoph; Whoriskey, Fred. |
The oceans play a key role in global issues such as climate change, food security, and human health. Given their vast dimensions and internal complexity, efficient monitoring and predicting of the planet's ocean must be a collaborative effort of both regional and global scale. A first and foremost requirement for such collaborative ocean observing is the need to follow well-defined and reproducible methods across activities: from strategies for structuring observing systems, sensor deployment and usage, and the generation of data and information products, to ethical and governance aspects when executing ocean observing. To meet the urgent, planet-wide challenges we face, methods across all aspects of ocean observing should be broadly adopted by the ocean... |
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Palavras-chave: Best practices; Sustainability; Interoperability; Digital repository; Peer review; Ocean observing; Ontologies; Methodologies. |
Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00503/61423/65111.pdf |
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Saulquin, Bertrand; Gohin, Francis; Garello, Rene. |
In this paper we define the method used to merge high resolution multi-sensor chlorophyll-a data on the Ireland-Biscay-Iberia Regional Ocean Observing System (IBI-ROOS) area at a resolution of 0.015 degrees. The method is based on geostatistics and is known as kriging. The merged variable is the anomaly of chlorophyll-a, the anomaly being defined for a day as the difference between the daily image and the mean historical field for that day. The used chlorophyll-a dataset is derived from the daily level-2 water leaving radiances of the Sea-viewing Wide Field of View Sensor (SeaWiFS) of the Orbview platform, the Moderate Resolution Imaging Spectroradiometer (MODIS) of the Aqua platform and the Medium Resolution Imaging Spectrometer Instrument (MERIS) of the... |
Tipo: Text |
Palavras-chave: Remote sensing; Chlorophyll-a; Optimal interpolation; Kriging. |
Ano: 2009 |
URL: http://archimer.ifremer.fr/doc/00014/12536/9568.pdf |
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