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PRODID:IEEE vTools.Events//EN
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TZID:Australia/Adelaide
BEGIN:DAYLIGHT
DTSTART:20231001T030000
TZOFFSETFROM:+0930
TZOFFSETTO:+1030
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BEGIN:VEVENT
DTSTAMP:20230804T105223Z
UID:F998D1F9-A899-4241-A51F-6FDE3865D22D
DTSTART;TZID=Australia/Adelaide:20230801T193000
DTEND;TZID=Australia/Adelaide:20230801T203000
DESCRIPTION:In maritime radar\, Inverse Synthetic Aperture Radar (ISAR) is 
 used to image targets with classification typically performed by a radar o
 perator. Three dimensional (3D)-ISAR was developed as an alternative repre
 sentation with the target represented by a 3D point cloud\, instead of the
  traditional range/Doppler image. This provides extra spatial information 
 that can be exploited for automatic target recognition.\n\nThere are three
  algorithms that can have been developed depending on the receiving system
 ’s configuration: a temporal-based approach that uses a single receiver\
 , a dual-baseline interferometric-ISAR (InISAR) with 3 receivers and a hyb
 rid temporal-InISAR approach that uses 2 receivers along a single (horizon
 tal) baseline that is suitable for airborne maritime surveillance platform
 s. To attain robust 3D-ISAR based target classification\, our research has
  explored techniques for improving the quality of point cloud imaging usin
 g polarimetric-ISAR\, array ISAR and sea clutter suppression. This talk wi
 ll describe each of these enhancements and demonstrate how the improved lo
 calisation can be used to enhance target classification.\n\nSpeaker(s): Lu
 ke Rosenberg\n\nVirtual: https://events.vtools.ieee.org/m/367039
LOCATION:Virtual: https://events.vtools.ieee.org/m/367039
ORGANIZER:waashwal@ieee.org
SEQUENCE:14
SUMMARY: 2023 AESS Virtual Distinguished Lecturer Series: Luke Rosenberg - 
 3D ISAR: Techniques and Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/367039
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;In maritime radar\, Inverse Synthetic Aper
 ture Radar (ISAR) is used to image targets with classification typically p
 erformed by a radar operator. Three dimensional (3D)-ISAR was developed as
  an alternative representation with the target represented by a 3D point c
 loud\, instead of the traditional range/Doppler image. This provides extra
  spatial information that can be exploited for automatic target recognitio
 n.&lt;/p&gt;\n&lt;p&gt;There are three algorithms that can have been developed dependi
 ng on the receiving system&amp;rsquo\;s configuration: a temporal-based approa
 ch that uses a single receiver\, a dual-baseline interferometric-ISAR (InI
 SAR) with 3 receivers and a hybrid temporal-InISAR approach that uses 2 re
 ceivers along a single (horizontal) baseline that is suitable for airborne
  maritime surveillance platforms. To attain robust 3D-ISAR based target cl
 assification\, our research has explored techniques for improving the qual
 ity of point cloud imaging using polarimetric-ISAR\, array ISAR and sea cl
 utter suppression. This talk will describe each of these enhancements and 
 demonstrate how the improved localisation can be used to enhance target cl
 assification.&lt;/p&gt;
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