BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Turkey BEGIN:DAYLIGHT DTSTART:20380119T061407 TZOFFSETFROM:+0300 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1 TZNAME:+03 END:DAYLIGHT BEGIN:STANDARD DTSTART:20160907T000000 TZOFFSETFROM:+0300 TZOFFSETTO:+0300 RRULE:FREQ=YEARLY;BYDAY=1WE;BYMONTH=9 TZNAME:+03 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20181027T180514Z UID:4679837A-A229-49FA-9AE0-FE068C94895E DTSTART;TZID=Turkey:20181019T133000 DTEND;TZID=Turkey:20181019T153000 DESCRIPTION:Speaker: Asst. Prof. Seniha Esen Yuksel\, Hacettepe University\ n\nTopic: "Can You "See" the Target in the Shadow?"\n\nLocation: Middle Ea st Technical University\, Ankara\, Turkey\n\nAbstract: Hyperspectral camer as are a special set of cameras which collect hundreds of images from acro ss the electromagnetic spectrum. In doing so\, it is possible to label eve ry single pixel based on its material content\; such as asphalt\, grass\, water etc. This incredible information on materials can be used in a varie ty of fields from agriculture to astronomy\, medical imaging and defense. However\, one hurdle occurs when the light is simply not there to collect: targets hidden in shadow regions are very difficult to detect from hypers pectral images. One way to mitigate this problem is to detect the shadow a reas using light detection and ranging (LiDAR) sensors\, and to correct fo r the hyperspectral data in these regions. In this talk\, we will first in troduce the hyperspectral and LiDAR sensors and explain the physical radia nce model. Then\, we will describe our efforts to combine LiDAR and hypers pectral data in the shadow regions using the physical radiance model\; and show that this significantly increases the target detection rates in shad ow regions.\n\nBio: Seniha Esen Yuksel received the B.Sc. degree in electr ical and electronics engineering from the Middle East Technical University \, Ankara\, Turkey\, in 2003\; the M.Sc. degree in electrical and computer engineering from the University of Loisville\, Louisville\, USA in 2005\; and the Ph.D. degree in computer engineering from the University of Flori da\, Gainesville\, FL\, USA in 2011. She then worked as a postdoctoral res earcher at the materials science department of University of Florida\, and as a lecturer at the Middle East Technical University Northern Cyprus Cam pus. Currently\, Dr. Yuksel is an assistant professor at the Hacettepe Uni versity\, Department of Electrical and Electronics Engineering. She is als o the director of the Pattern Recognition and Remote Sensing Laboratory (P ARRSLAB http://parrslab.ee.hacettepe.edu.tr)\, where she is doing research on machine learning and computer vision with applications in defense and medical industry. Her latest projects include fusion of hyperspectral and LiDAR data\, target detection from ground penetrating radar data\, landmin e\, explosives and substance detection from hyperspectral and thermal imag es. Her lab is always open to collaborators\, talented graduate as well as undergraduate students.\n\nSpeaker(s): Asst. Prof. Seniha Esen Yuksel\, \ n\nAnkara\, Ankara\, Türkiye LOCATION:Ankara\, Ankara\, Türkiye ORGANIZER:ozergul@metu.edu.tr SEQUENCE:1 SUMMARY:IEEE AP/MTT/EMC/ED TURKEY CHAPTER SEMINAR SERIES -- SEMINAR 35 URL;VALUE=URI:https://events.vtools.ieee.org/m/180091 X-ALT-DESC:Description: <br /><p>Speaker: Asst. Prof. Seniha Esen Yuksel\, Hacettepe University</p>\n<p>Topic: "Can You "See" the Target in the Shado w?"</p>\n<p>Location:&nbsp\;Middle East Technical University\, Ankara\, Tu rkey</p>\n<p>Abstract: Hyperspectral cameras are a special set of cameras which collect hundreds of images from across the electromagnetic spectrum. In doing so\, it is possible to label every single pixel based on its mat erial content\; such as asphalt\, grass\, water etc. This incredible infor mation on materials can be used in a variety of fields from agriculture to astronomy\, medical imaging and defense. However\, one hurdle occurs when the light is simply not there to collect: targets hidden in shadow region s are very difficult to detect from hyperspectral images. One way to mitig ate this problem is to detect the shadow areas using light detection and r anging (LiDAR) sensors\, and to correct for the hyperspectral data in thes e regions. In this talk\, we will first introduce the hyperspectral and Li DAR sensors and explain the physical radiance model. Then\, we will descri be our efforts to combine LiDAR and hyperspectral data in the shadow regio ns using the physical radiance model\; and show that this significantly in creases the target detection rates in shadow regions.</p>\n<p>Bio: Seniha Esen Yuksel received the B.Sc. degree in electrical and electronics engine ering from the Middle East Technical University\, Ankara\, Turkey\, in 200 3\; the M.Sc. degree in electrical and computer engineering from the Unive rsity of Loisville\, Louisville\, USA in 2005\; and the Ph.D. degree in co mputer engineering from the University of Florida\, Gainesville\, FL\, USA in 2011. She then worked as a postdoctoral researcher at the materials sc ience department of University of Florida\, and as a lecturer at the Middl e East Technical University Northern Cyprus Campus.&nbsp\; Currently\, Dr. Yuksel is an assistant professor at the Hacettepe University\, Department of Electrical and Electronics Engineering. She is also the director of th e Pattern Recognition and Remote Sensing Laboratory (PARRSLAB http://parrs lab.ee.hacettepe.edu.tr)\, where she is doing research on machine learning and computer vision with applications in defense and medical industry. He r latest projects include fusion of hyperspectral and LiDAR data\, target detection from ground penetrating radar data\, landmine\, explosives and s ubstance detection from hyperspectral and thermal images. Her lab is alway s open to collaborators\, talented graduate as well as undergraduate stude nts.</p> END:VEVENT END:VCALENDAR