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Your search keyword '"Desnos, Y. L."' showing total 35 results
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35 results on '"Desnos, Y. L."'

1. PolSARpro-BIO The new scientific toolbox for ESA and third party fully polarimetric SAR missions

Author

Pottier, E., Ferro-Famil, Laurent, Fitrzyk, M., Desnos, Y.-L., Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), European Space Research Institute (ESRIN), European Space Agency (ESA), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Agence Spatiale Européenne = European Space Agency (ESA), and Nantes Université (NU)-Université de Rennes 1 (UR1)

Subjects
Application programs, [SPI]Engineering Sciences [physics], Fully polarimetric SAR, Polarimetric data, Educational software, Polarimetric Interferometric SAR, Scientific development, Research and application, Scientific exploitation, Synthetic aperture radar, Polarimetric SAR data, Polarimeters
Abstract

International audience; The objective of this paper is to make a general presentation of the future version of the ESA PolSARpro software toolbox which will be named PolSARpro-BIO software. Since 2003, the objective of the PolSARpro software project is to provide educational software that offers a tool for self-education in the field of Polarimetric SAR data analysis and a comprehensive suite of functions for the scientific exploitation of fully and partially polarimetric data sets. The PolSARpro software establishes a foundation for the exploitation of polarimetric techniques for scientific developments and stimulates research and applications developments using Pol-SAR (Polarimetric SAR), Pol-InSAR (Polarimetric - Interferometric SAR), Pol-TomoSAR (Polarimetric - Tomographic SAR) and Pol-TimeSAR (Polarimetric - Time Series SAR) data. In this paper we propose, first, a review of the current status of the PolSARpro software then we present the objectives and functionalities of the PolSARpro-BIO Software, the new scientific toolbox for ESA and third party fully polarimetric SAR missions. © VDE VERLAG GMBH  Berlin  Offenbach.

Published
2018

2. The ESA's Earth Observation Open Science Program [Space Agencies]

Author

Mathieu, P.-P., Borgeaud, M., Desnos, Y.-L., Rast, M., Brockmann, C., See, L., Kapur, R., Mahecha, M., Benz, U., Fritz, S., Mathieu, P.-P., Borgeaud, M., Desnos, Y.-L., Rast, M., Brockmann, C., See, L., Kapur, R., Mahecha, M., Benz, U., and Fritz, S.

Abstract

The world of Earth observation (EO) data is rapidly changing, driven by exponential advances in sensor and digital technologies. Recent decades have seen the development of extraordinary new ways of collecting, storing, manipulating, and transmitting data that are radically transforming the way we conduct and organize science. This convergence of technologies creates new challenges for EO scientists and data and software providers to fully exploit large amounts of multivariate data from diverse sources. At the same time, these technological trends also generate huge opportunities to better understand our planet and turn big data into new types of information services. This article briefly describes some of the elements of the European Space Agency's (ESA) EO Open Science program, which aims to enable the digital transformation of the EO community and make the most of the large, complex, and diverse data delivered by the new generation of EO missions, such as the Copernicus Sentinels.

Published
2017

3. Supporting Earth-Observation Calibration and Validation: A new generation of tools for crowdsourcing and citizen science

Author

See, L., Fritz, S., Dias, E., Hendriks, E., Mijling, B., Snik, F., Stammes, P., Vescovi, F.D., Zeug, G., Mathieu, P.-P., Desnos, Y.-L., Rast, M., See, L., Fritz, S., Dias, E., Hendriks, E., Mijling, B., Snik, F., Stammes, P., Vescovi, F.D., Zeug, G., Mathieu, P.-P., Desnos, Y.-L., and Rast, M.

Abstract

Citizens are providing vast amounts of georeferenced data in the form of in situ data collections as well as interpretations and digitization of Earth-observation (EO) data sets. These new data streams have considerable potential for supporting the calibration and validation of current and future products derived from EO. We provide a general introduction to this growing area of interest and review existing crowdsourcing and citizen science (CS) initiatives of relevance to EO. We then draw upon our own experiences to provide case studies that highlight different types of data collection and citizen engagement and discuss the various barriers to adoption. Finally, we highlight opportunities for how citizens can become part of an integrated EO monitoring system in the framework of the European Union (EU) space program, including Copernicus and other monitoring initiatives.

Published
2016

15. Validating the SAR Wavenumber Shift Principle With the ERS—Envisat PS Coherent Combination.

Author

Perissin, Daniele, Prati, Claudio, Engdahl, Marcus E., and Desnos, Y. L.

Subjects
REMOTE sensing, SYNTHETIC aperture radar, INTERFEROMETRY, OPTICAL measurements, AZIMUTH
Abstract

Continuity of the European Remote Sensing Satellite Synthetic Aperture Radar (ERS SAR) archive by means of Envisat Advanced SAR (ASAR) data acquired from March 2002 has introduced the problem of the coherent combination of images coming from sensors with slightly different frequencies. The spectral shift principle states that in case of extended distributed targets, the frequency shift is equivalent to a change of looking angle. In this paper, the same principle is exploited to analyze the behavior of permanent scatterers (PSs) with an extension that is smaller than the ground resolution cell. The conditions under which the PSs identified by ERS can be continued by Envisat are then theoretically determined and experimentally validated. Moreover, this analysis shows that acquisitions characterized by different frequencies can be used to identify the slant-range position of scatterers with high subcell accuracy (tens of centimeters). From the processing side, a very precise images coregistration step is required to get the results described in this paper. [ABSTRACT FROM AUTHOR]

Published
2006
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