Extension of Wavenumber Domain Focusing for spotlight COSMO-SkyMed SAR Data

Autor: Vita Antonia Lorè, Marco Nicoletti, Nunzia Lombardi, Antonella Gallipoli, G. Milillo, Rino Lorusso, F. Nirchio

Publikováno v: European Journal of Remote Sensing. 48:49-70

In this work we describe a method to handle curved orbits in wavenumber domain focusing algorithm for high-resolution SAR data acquired by Low Earth Orbit satellites using spotlight mode. The stand...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2f899a06b655138fbb16373c7b14ee57
https://doi.org/10.5721/eujrs20154804

Automatic oil slick detection from SAR images: Results and improvements in the framework of the PRIMI pilot project

Autor: F. Tataranni, P. Trivero, F. Nirchio, Giacomo De Carolis, Maria Adamo, W. Biamino, M. Cavagnero, Lorenza Di Matteo, M. Borasi, Fabio Fontebasso

Publikováno v: Deep-sea research. Part 2. Topical studies in oceanography 133 (2016): 146–158. doi:10.1016/j.dsr2.2016.03.003
info:cnr-pdr/source/autori:Trivero P.; Adamo M.; Biamino W.; Borasi M.; Cavagnero M.; De Carolis G.; Di Matteo L.; Fontebasso F.; Nirchio F.; Tataranni F./titolo:Automatic oil slick detection from SAR images: Results and improvements in the framework of the PRIMI pilot project/doi:10.1016%2Fj.dsr2.2016.03.003/rivista:Deep-sea research. Part 2. Topical studies in oceanography/anno:2016/pagina_da:146/pagina_a:158/intervallo_pagine:146–158/volume:133

An automatic system capable of discriminating oil spills from other similar sea surface features in Synthetic Aperture Radar images has been developed and tested. This system, called Oil Spill Automatic Detector (OSAD), was originally conceived for C

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f99402132e09153b7e3f1d7b53fc6192

Automatic detection of oil spills from SAR images

Autor: A. Giancaspro, P. Trivero, F. Nirchio, M. Sorgente, R. Ravera, W. Biamino, E. Parisato

Publikováno v: International Journal of Remote Sensing. 26:1157-1174

A probabilistic method has been developed that distinguishes oil spills from other similar sea surface features in synthetic aperture radar (SAR) images. It considers both the radiometric and the geometric characteristics of the areas being tested. I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::559f9162e67e57171ed3fce90922870d
https://doi.org/10.1080/01431160512331326558

Oil spill detection using marine SAR images

Autor: P. Pavese, P. Trivero, B. Fiscella, A. Giancaspro, F. Nirchio

Publikováno v: International Journal of Remote Sensing. 21:3561-3566

A probabilistic approach to distinguish oil spills from other similar oceanic features in marine Synthetic Aperture Radar (SAR) images has been developed and tested. The method uses statistical information obtained from previous mesurements of physic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a03a4b3943453d22948c312a9c0aefc7
https://doi.org/10.1080/014311600750037589

Preliminary model for wind estimation from Cosmo/SkyMed X band SAR data

Autor: Sara Venafra, F. Nirchio

Publikováno v: IGARSS

In the paper we present a preliminary model for wind estimation from SAR data in X band. The data set we have used is composed of more than 300 Cosmo/SkyMed SAR images and the wind data obtained from the SeaWinds instrument on QuikSCAT. We have deriv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64af1d564a1358c327cb9755bd8005dc
https://doi.org/10.1109/igarss.2010.5650437