Zobrazeno 1 - 10
of 32
pro vyhledávání: '"J. Del Rio Vera"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
This paper presents a new supervised classification approach for automated target recognition (ATR) in SAS images. The recognition procedure starts with a novel segmentation stage based on the Hilbert transform. A number of geometrical features are t
Externí odkaz:
https://doaj.org/article/03d386088c9240ebb19a600f02f85d9d
The Office for Outer Space Affairs manages and implements the program on the peaceful uses of outer space, which is aimed at strengthening international cooperation in space activities and in the use of space science and technology for achieving sust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf9f87cbbd57ece75cd72c5c05afb12b
Autor:
J. Del Rio Vera, Y. L. Chang, Carlos Brandt, N. Ricard, S. Di Pippo, Narek Sahakyan, Remo Ruffini, M. Perri, Theo Glauch, M. Capalbi, P. Giommi, M. De Angelis, A. M. T. Pollock, F. Arneodo, S. Puccetti, A. V. Penacchioni, R. Middei, O. Civitarese, S. Turriziani, U. Barres de Almeida, A. Di Giovanni, V. D'Elia, F. Verrecchia, Paolo Padovani, C. Leto
Aims. The sample of serendipitous sources detected in all Swift-XRT images pointing at gamma ray bursts (GRBs) constitutes the largest existing medium-deep survey of the X-ray sky. To build such dataset we analysed all Swift X-ray images centred on G
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4702986597c51f5382e1d956c91f8ee8
http://hdl.handle.net/20.500.12386/31579
http://hdl.handle.net/20.500.12386/31579
Autor:
J. Del Rio Vera, S. Di Pippo, S. Iacovoni, Paolo Giommi, M. De Angelis, U. Barres de Almeida, A. M. T. Pollock, G. Arrigo, S. Di Ciaccio
Publikováno v:
Space Capacity Building in the XXI Century ISBN: 9783030219376
The almost universal availability of electronic connectivity, web software, and portable devices is bringing about a major revolution: information of all kinds is rapidly becoming accessible to everyone, transforming social, economic and cultural lif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b6ae21d4c38f8b26b8ae7754e3d212a
https://doi.org/10.1007/978-3-030-21938-3_31
https://doi.org/10.1007/978-3-030-21938-3_31
Autor:
M. De Angelis, C. H. Brandt, J. Del Rio Vera, S. Turriziani, Y. L. Chang, M. Perri, Remo Ruffini, S. Di Pippo, Narek Sahakyan, U. Barres de Almeida, Valerio D'Elia, A. V. Penacchioni, O. Civitarese, R. Middei, F. Arneodo, Paolo Giommi, A. M. T. Pollock
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Open Universe for blazars is a set of high-transparency data products for blazar science, and the tools designed to generate them. Blazar astrophysics is becoming increasingly data driven, depending on the integration and combined analysis of large q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df90721a40c7a50a45be3b1ac5b8c208
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
This paper presents a new supervised classification approach for automated target recognition (ATR) in SAS images. The recognition procedure starts with a novel segmentation stage based on the Hilbert transform. A number of geometrical features are t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::befb50f690273692d50d5c19a21d3383
https://doi.org/10.1155/2009/109438
https://doi.org/10.1155/2009/109438
Publikováno v:
IET Radar, Sonar & Navigation. 4:62
The quality and effectiveness of sensor information provided by mine-hunting autonomous underwater vehicles (AUVs) equipped with high-resolution sonars has improved drastically in recent years. In parallel, data rates have significantly increased res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ada05d24c2ba2e4edb09e65ed1a42fc3
https://doi.org/10.1049/iet-rsn.2009.0071
https://doi.org/10.1049/iet-rsn.2009.0071
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Conference
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