BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20220313T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221106T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20220621T213421Z
UID:363F1CF5-F0B6-4A6D-AD98-0C7E3EF681D8
DTSTART;TZID=America/New_York:20220621T120000
DTEND;TZID=America/New_York:20220621T133000
DESCRIPTION:Marine oil pollution monitoring is a topic of great applicative
  and scientific relevance. Use of remotely sensed measurements is of speci
 al interest and\, in particular\, the SAR because of its almost all-weathe
 r and all-day imaging capability at fine spatial resolution is the most ef
 fective tool. Conventional single-polarization SAR oil spill monitoring te
 chniques are limited in their capability to detect oil slicks since they s
 trongly rely on suitable thresholds\, training samples\, and ancillary inf
 ormation. Hence\, an expert image analyst is due. The launch of a number o
 f polarimetric SAR missions\, along with the understanding of the peculiar
  physical mechanisms governing the scattering by an oil slick\, led to a n
 ew paradigm (known as physical processing) that fostered a set of polarime
 tric algorithms particularly robust and efficient. Hence\, suitable polari
 metric models that exploit the departure from the slick-free sea Bragg sca
 ttering have been developed to effectively address oil slick monitoring. A
  set of polarimetric features extracted following such electromagnetic mod
 els have been proved to be reliable for oil slick monitoring. Polarimetric
  SAR observations led to a significant improvement in sea oil slick observ
 ation since they allow distinguishing oil slicks from a broad class of loo
 kalikes in an unsupervised way.\n\nCo-sponsored by: Aerospace and Electron
 ic Systems Society and Life Members and IEEE Western New York GRSS Chapter
  \n\nSpeaker(s): Prof.  Maurizio Migliaccio\, \n\nVirtual: https://events.
 vtools.ieee.org/m/315036
LOCATION:Virtual: https://events.vtools.ieee.org/m/315036
ORGANIZER:fscire@icloud.com
SEQUENCE:7
SUMMARY:Synthetic Aperture Radar for oil spill observation
URL;VALUE=URI:https://events.vtools.ieee.org/m/315036
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Marine oil pollution monitoring is a topic
  of great applicative and scientific relevance. Use of remotely sensed mea
 surements is of special interest and\, in particular\, the SAR because of 
 its almost all-weather and all-day imaging capability at fine spatial reso
 lution is the most effective tool. Conventional single-polarization SAR oi
 l spill monitoring techniques are limited in their capability to detect oi
 l slicks since they strongly rely on suitable thresholds\, training sample
 s\, and ancillary information. Hence\, an expert image analyst is due. The
  launch of a number of polarimetric SAR missions\, along with the understa
 nding of the peculiar physical mechanisms governing the scattering by an o
 il slick\, led to a new paradigm (known as physical processing) that foste
 red a set of polarimetric algorithms particularly robust and efficient. He
 nce\, suitable polarimetric models that exploit the departure from the sli
 ck-free sea Bragg scattering have been developed to effectively address oi
 l slick monitoring. A set of polarimetric features extracted following suc
 h electromagnetic models have been proved to be reliable for oil slick mon
 itoring. Polarimetric SAR observations led to a significant improvement in
  sea oil slick observation since they allow distinguishing oil slicks from
  a broad class of lookalikes in an unsupervised way.&amp;nbsp\;&lt;/p&gt;
END:VEVENT
END:VCALENDAR

