Zobrazeno 1 - 10
of 550
pro vyhledávání: '"Paris, W"'
Autor:
Flores, Ashley V., Krueger, Austyn E., Stiner, Amanda J., Albert, Hailey M., Mansur, Travis, Willis, Victoria, Lee, Chanel C., Garay, Luis J., Nguyen, Loi T., Frank, Matthew A., Barnes, Paris W., Fry-Petit, Allyson M.
Publikováno v:
In Progress in Solid State Chemistry December 2019 56
Publikováno v:
Canadian Journal of Remote Sensing, Vol 45, Iss 5, Pp 591-602 (2019)
Using a case study approach, the utility of synergistic RADARSAT-2 (R2) and Sentinel-1 (S1) synthetic aperture radar (SAR) imagery is demonstrated for ocean feature signature analysis in the vicinity of the Gulf Stream. The R2 and S1 images considere
Externí odkaz:
https://doaj.org/article/0022e35c01d24dbaaa80509472d2f43e
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 4, Pp 311-320 (2018)
This work presents a Gulf Stream (GS) North Wall (GSNW) detection algorithm applicable to Sentinel-1 Radial surface Velocity (RVL) products derived from Doppler centroid analysis of synthetic aperture radar (SAR) data collected off the east coast of
Externí odkaz:
https://doaj.org/article/37ff33eb2e4140149a9df9a530594308
Autor:
Patrick Plourde, Alan Thompson, Markus Jochum, Dirk Geudtner, Guy Séguin, Keith Beckett, Brian Brisco, Marco Van der Kooij, Paris W. Vachon
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 3, Pp 243-246 (2018)
A panel discussion on the challenges for the Next Generation SAR was held during the EO Summit 2017. Three main topics were discussed during this panel. The first was how to respond to the trend of using multi-frequency data in the context of the lon
Externí odkaz:
https://doaj.org/article/5569a5c2d99e43e8adc5c903521a964d
The Utility of Sentinel-1 Data for Ocean Surface Feature Analysis in the Vicinity of the Gulf Stream
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 2, Pp 144-152 (2018)
European Space Agency Sentinel-1 (S1) synthetic aperture radar (SAR) datasets are used to assess their suitability for ocean surface feature extraction in the vicinity of the Gulf Stream. A SAR ocean feature detection tool originally developed to ext
Externí odkaz:
https://doaj.org/article/e88ed36123264d20915961fd43f3dd5a
Publikováno v:
Canadian Journal of Remote Sensing, Vol 43, Iss 5, Pp 451-454 (2017)
Validating detected targets by ship detection engines without ground-truth data is a very challenging task and this is addressed in this article. Targets detected in synthetic aperture radar (SAR) imagery are validated against automatic identificatio
Externí odkaz:
https://doaj.org/article/116f6736cfaf46ceae64c8bb3ef46383
Publikováno v:
Bulletin of the American Meteorological Society, 2014 May 01. 95(5), 677-679.
Externí odkaz:
https://www.jstor.org/stable/26218958
Autor:
Day, Bradley E., Bley, Nicholas D., Jones, Heather R., McCullough, Ryan M., Eng, Hank W., Porter, Spencer H., Woodward, Patrick M., Barnes, Paris W.
Publikováno v:
In Journal of Solid State Chemistry January 2012 185:107-116
Publikováno v:
Canadian Journal of Remote Sensing. 45:591-602
Using a case study approach, the utility of synergistic RADARSAT-2 (R2) and Sentinel-1 (S1) synthetic aperture radar (SAR) imagery is demonstrated for ocean feature signature analysis in th...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd9b42b01be1cc581406b6e6f13156f7
https://doi.org/10.1080/07038992.2019.1662284
https://doi.org/10.1080/07038992.2019.1662284
Publikováno v:
Canadian Journal of Remote Sensing. 44:311-320
This work presents a Gulf Stream (GS) North Wall (GSNW) detection algorithm applicable to Sentinel-1 Radial surface Velocity (RVL) products derived from Doppler centroid analysis of synthet...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aeaef5e7d26a11741e39149d82f29740
https://doi.org/10.1080/07038992.2018.1516130
https://doi.org/10.1080/07038992.2018.1516130