Multi-Chromatic Analysis of SAR Images for Coherent Target Detection

Autor: Fabio Bovenga, Dominique Derauw, Fabio Michele Rana, Christian Barbier, Alberto Refice, Nicola Veneziani, Raffaele Vitulli

Publikováno v: Remote Sensing, Vol 6, Iss 9, Pp 8822-8843 (2014)

This work investigates the possibility of performing target analysis through the Multi-Chromatic Analysis (MCA), a technique that basically explores the information content of sub-band images obtained by processing portions of the range spectrum of a

Externí odkaz: https://doaj.org/article/e8dbf24f059740b99147fcbf2b6f8127

Optical Compressive Imaging Technologies for Space Big Data

Autor: Cinzia Lastri, Raffaele Vitulli, Giulio Coluccia, Daniela Coltuc, Ivan Pippi, Chiara Ravazzi, Alessandro Zuccaro Marchi, Enrico Magli, Valentina Raimondi, Donatella Guzzi, Vanni Nardino, Lorenzo Palombi, Florin Garoi

Publikováno v: IEEE Transactions on Big Data (2019). doi:10.1109/TBDATA.2019.2907135
info:cnr-pdr/source/autori:Giulio Coluccia, Cinzia Lastri, Donatella Guzzi, Enrico Magli, Vanni Nardino, Lorenzo Palombi, Ivan Pippi, Valentina Raimondi, Chiara Ravazzi, Florin Garoi, Daniela Coltuc, Raffaele Vitulli, Alessandro Zuccaro Marchi/titolo:Optical Compressive Imaging Technologies for Space Big Data/doi:10.1109%2FTBDATA.2019.2907135/rivista:IEEE Transactions on Big Data/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume

The increasing amount of data generated by space applications poses several challenges due to limited resources available onboard: power, memory, computation, data rate. In this paper, we propose Compressed Sensing (CS) as the key tool to face those

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52348cfa756030efb12448a2c6b0ee85
https://doi.org/10.1109/tbdata.2019.2907135

Impact of CCSDS-IDC and JPEG 2000 Compression on Image Quality and Classification

Autor: Alaitz Zabala, Raffaele Vitulli, Xavier Pons

Publikováno v: Journal of Electrical and Computer Engineering, Vol 2012 (2012)

This study measures the impact of both on-board and user-side lossy image compression (CCSDS-IDC and JPEG 2000) on image quality and classification. The Sentinel-2 Image Performance Simulator was modified to include these compression algorithms in or

Externí odkaz: https://doaj.org/article/c0fa97f6874c4569bb586c709d8f242d

Study of Delay Drift in GNSS-R Altimetry

Autor: Raffaele Vitulli, Manuel Martin-Neira, Salvatore DaAddio

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7:1473-1480

Differently to the case of a conventional spaceborne nadir-looking mono-static radar altimeter, where the fly-around time of the pulses remains basically constant (assuming an almost circular orbit around an almost spherical Earth), the bistatic geom

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2eff1c7e41fb3e3affacbd4a10a4e9c9
https://doi.org/10.1109/jstars.2014.2307168

Multi-Chromatic Analysis of SAR Images for Coherent Target Detection

Autor: Christian Barbier, Raffaele Vitulli, Fabio Bovenga, Dominique Derauw, Alberto Refice, Fabio Michele Rana, N. Veneziani

Publikováno v: Remote Sensing
Volume 6
Issue 9
Pages 8822-8843
Remote Sensing, Vol 6, Iss 9, Pp 8822-8843 (2014)
Remote sensing (Basel) 6 (2014): 8822–8843. doi:10.3390/rs6098822
info:cnr-pdr/source/autori:Bovenga, Fabio; Derauw, Dominique; Rana, Fabio Michele; Barbier, Christian; Refice, Alberto; Veneziani, Nicola; Vitulli, Raffaele/titolo:Multi-Chromatic Analysis of SAR Images for Coherent Target Detection/doi:10.3390%2Frs6098822/rivista:Remote sensing (Basel)/anno:2014/pagina_da:8822/pagina_a:8843/intervallo_pagine:8822–8843/volume:6

This work investigates the possibility of performing target analysis through the Multi-Chromatic Analysis (MCA), a technique that basically explores the information content of sub-band images obtained by processing portions of the range spectrum of a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c38884072092ac74ed6f35de27cb0d4