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DTSTART:20190310T030000
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BEGIN:VEVENT
DTSTAMP:20191009T155045Z
UID:1253DED0-158A-48F0-BD38-73E6A45C008E
DTSTART;TZID=US/Pacific:20190530T173000
DTEND;TZID=US/Pacific:20190530T193000
DESCRIPTION:The IEEE Los Angeles Geoscience and Remote Sensing Society Chap
 ter Present a Special LectureEvent!\n\nMachine Learning Application for Sa
 tellite Image Analysis: Methods and Case Studies\n\nVinay Viswambharan\, S
 hairoz Sohail\, and Sangeet Mathew\nEsri Image Team and Esri A.I. Team\n\n
 Thursday\, May 30\, 2019\n5:30–7:30 PM\n\nArms Laboratory\, Sharp Lectur
 e Hall\nCalifornia Institute of Technology\nPasadena\, California\n\nAbout
  the Talk: Remote sensing specialists from academia and industry have been
  using the latest progress in artificial intelligence to find more efficie
 nt and accurate methods to extract knowledge from the huge collection of s
 atellite images accumulated in the past 30 years. In this talk\, members f
 rom Esri’s imagery and A.I. teams will explain the technical details of 
 using cutting edge machine learning and deep learning methods to analyze m
 ulti-source remote sensing data. The methods will be presented in an intui
 tive way and accessible to those with a light coding background. They will
  present use cases of using machine learning tools on Esri’s collection 
 of remote sensing imagery to solve real world problems such as quickly det
 ecting polluted swimming pools\, identifying the unhealthy palm trees\, an
 d detecting damaged structures and roads post disaster. The presenters wil
 l also share their experiences about working at Esri and where the future 
 of A.I and remote sensing is headed.\n\nAbout the Speakers:\nVinay Viswamb
 haran is a product manager on the Imagery team at Esri\, with a zeal for r
 emote sensing and everything imagery. He has been working in geospatial in
 dustry for 20 years. He is also very active in developing case study class
 es for the Esri LearnGIS and MOOC program.\nSharioz Sohail is a data scien
 tist on Esri’s GeoAI team. He works mainly on building deep learning mod
 els for aerial and satellite imagery\, LiDar\, drone feeds\, and live vide
 o. He routinely solves problems from object detection and tracking\, image
  classification\, semantic segmentation\, NLP\, and other areas.\nSangeet 
 Mathew is a senior software engineer at Esri. He is an experienced Product
  Engineer. His work focuses on Software QA\, Programming Languages\, Agile
  Methodologies\, Software Design &amp; Machine Learning. Certified in A.I. &amp; D
 eep Learning.\n\nDirections and Parking: Parking on the Caltech campus is 
 accessible from Michigan Avenue\, south of Del Mar Avenue. Parking is free
  after 5 pm. Arms Lab location: http://www.caltech.edu/map/charles-arms-la
 boratory-of-the-geological-sciences\n\nReservation: Please RSVP with your 
 IEEE membership # to la.grss.officers@ieee.org. You are welcome to bring y
 our spouse as a guest. Non-members can go to www.ieee.org/join\, then send
  your membership number.\n\nPlease see the event [flyer](http://sites.ieee
 .org/metrola-grss/files/2019/05/Flyer_IEEE_GRSS_May30_Final.pdf) for agend
 a and other details.\n\nAgenda: \n5:30 pm – Refreshments\n\n6:00 pm – 
 Announcements\n\n6:10 pm – Lecture\n\n7:00 pm – Discussion\n\n7:30 pm 
 – Adjournment\n\nRoom: Sharp Lecture Hall\, Bldg: Arms Laboratory\, Arms
  Laboratory\, California Institute of Technology\, Pasadena\, California\,
  United States
LOCATION:Room: Sharp Lecture Hall\, Bldg: Arms Laboratory\, Arms Laboratory
 \, California Institute of Technology\, Pasadena\, California\, United Sta
 tes
ORGANIZER:la.grss.officers@ieee.org
SEQUENCE:1
SUMMARY:Metro LA GRSS Chapter Event on Machine Learning Application for Sat
 ellite Image Analysis
URL;VALUE=URI:https://events.vtools.ieee.org/m/198988
X-ALT-DESC:Description: &lt;br /&gt;&lt;div dir=&quot;ltr&quot;&gt;\n&lt;p&gt;&lt;span style=&quot;font-family:
  verdana\, sans-serif\;&quot;&gt;&lt;strong&gt;&lt;em&gt;The&amp;nbsp\;&lt;span class=&quot;m_814121705856
 5785764gmail-il&quot;&gt;IEEE&lt;/span&gt;&amp;nbsp\;&lt;span class=&quot;m_8141217058565785764gmail
 -il&quot;&gt;Los&lt;/span&gt;&amp;nbsp\;&lt;span class=&quot;m_8141217058565785764gmail-il&quot;&gt;Angeles&lt;
 /span&gt;&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;&amp;nbsp\;&lt;/em&gt;&lt;/strong&gt;&lt;strong&gt;&lt;em&gt;&lt;span cla
 ss=&quot;m_8141217058565785764gmail-il&quot;&gt;Geoscienc&lt;wbr /&gt;e&lt;/span&gt;&amp;nbsp\;and&amp;nbsp
 \;&lt;span class=&quot;m_8141217058565785764gmail-il&quot;&gt;Remote&lt;/span&gt;&amp;nbsp\;&lt;span cl
 ass=&quot;m_8141217058565785764gmail-il&quot;&gt;Sensing&lt;/span&gt;&amp;nbsp\;&lt;span class=&quot;m_81
 41217058565785764gmail-il&quot;&gt;Society&lt;/span&gt;&amp;nbsp\;&lt;span class=&quot;m_81412170585
 65785764gmail-il&quot;&gt;C&lt;wbr /&gt;hapter&lt;/span&gt;&amp;nbsp\;&lt;span class=&quot;m_8141217058565
 785764gmail-il&quot;&gt;Present&lt;/span&gt;&amp;nbsp\;a&amp;nbsp\;&lt;span class=&quot;m_81412170585657
 85764gmail-il&quot;&gt;Special&lt;/span&gt;&amp;nbsp\;&lt;span class=&quot;m_8141217058565785764gmai
 l-il&quot;&gt;Lectu&lt;wbr /&gt;re&lt;/span&gt;&lt;span class=&quot;m_8141217058565785764gmail-il&quot;&gt;Eve
 nt&lt;/span&gt;!&lt;/em&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;m_8141217058565785764gmail-
 p2&quot;&gt;&lt;span style=&quot;font-family: verdana\, sans-serif\;&quot;&gt;&lt;span class=&quot;m_81412
 17058565785764gmail-s1&quot;&gt;&lt;span class=&quot;m_8141217058565785764gmail-Apple-conv
 erted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/span&gt;&lt;strong&gt;Machine Learning Application for
  Satellite Image Analysis: Methods and Case Studies&lt;span class=&quot;m_81412170
 58565785764gmail-Apple-converted-space&quot;&gt;&amp;nbsp\;&lt;/span&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;
 \n&lt;div dir=&quot;ltr&quot;&gt;&lt;span style=&quot;font-family: verdana\, sans-serif\;&quot;&gt;&amp;nbsp\;
 &lt;/span&gt;&lt;/div&gt;\n&lt;div&gt;Vinay Viswambharan\, Shairoz Sohail\, and Sangeet Math
 ew&lt;/div&gt;\n&lt;div&gt;Esri Image Team and Esri A.I. Team&lt;/div&gt;\n&lt;p&gt;&lt;span style=&quot;f
 ont-family: verdana\, sans-serif\;&quot;&gt;Thursday\, May 30\, 2019&lt;br /&gt;5:30&amp;nda
 sh\;7:30 PM&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: verdana\, sans-serif\
 ;&quot;&gt;&lt;span class=&quot;m_8141217058565785764gmail-il&quot;&gt;Arms&lt;/span&gt;&amp;nbsp\;&lt;span cla
 ss=&quot;m_8141217058565785764gmail-il&quot;&gt;Laboratory&lt;/span&gt;\, Sharp Lecture Hall&lt;
 br /&gt;California Institute of Technology&lt;br /&gt;Pasadena\, California&lt;/span&gt;&lt;
 /p&gt;\n&lt;p&gt;&lt;span style=&quot;font-family: verdana\, sans-serif\;&quot;&gt;&lt;strong&gt;About th
 e Talk:&amp;nbsp\;&lt;/strong&gt;Remote sensing specialists from academia and indust
 ry have been using the latest progress in artificial intelligence to find 
 more efficient and accurate methods to extract knowledge from the huge col
 lection of satellite images accumulated in the past 30 years. In this talk
 \, members from Esri&amp;rsquo\;s imagery and A.I. teams&amp;nbsp\;will explain th
 e technical details of using cutting edge machine learning and deep learni
 ng methods to analyze multi-source remote sensing data. The methods will b
 e presented in an intuitive way and accessible to those with a light codin
 g background. They will present use cases of using machine learning tools 
 on Esri&amp;rsquo\;s collection of remote sensing imagery to solve real world 
 problems such as quickly detecting polluted swimming pools\, identifying t
 he unhealthy palm trees\, and detecting damaged structures and roads post 
 disaster. The presenters will also share their experiences about working a
 t Esri and where the future of A.I and remote sensing is headed.&lt;/span&gt;&lt;/p
 &gt;\n&lt;p&gt;&lt;span style=&quot;font-family: verdana\, sans-serif\;&quot;&gt;&lt;strong&gt;About the 
 Speakers:&amp;nbsp\;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;span style=&quot;font-family: verdana\, 
 sans-serif\;&quot;&gt;&lt;strong&gt;Vinay Viswambharan&amp;nbsp\;&lt;/strong&gt;is a product manag
 er on the Imagery team at Esri\, with a zeal for remote sensing and everyt
 hing imagery. He has been working in geospatial industry for 20 years. He 
 is also very active in developing case study classes for the Esri LearnGIS
  and MOOC program.&lt;br /&gt;&lt;strong&gt;Sharioz Sohail&lt;/strong&gt;&amp;nbsp\;is a data sc
 ientist on Esri&amp;rsquo\;s GeoAI team. He works mainly on building deep lear
 ning models for aerial and satellite imagery\, LiDar\, drone feeds\, and l
 ive video. He routinely solves problems from object detection and tracking
 \, image classification\, semantic segmentation\, NLP\, and other areas.&amp;n
 bsp\;&lt;br /&gt;&lt;strong&gt;Sangeet Mathew&lt;/strong&gt;&amp;nbsp\;is a senior software engi
 neer at Esri. He is an experienced Product Engineer. His work focuses on S
 oftware QA\, Programming Languages\, Agile Methodologies\, Software Design
  &amp;amp\; Machine Learning. Certified in A.I. &amp;amp\; Deep Learning.&lt;/span&gt;\n
 &lt;div&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;/div&gt;\n&lt;div dir=&quot;ltr&quot;&gt;\n&lt;div dir=&quot;ltr&quot;&gt;\n&lt;div&gt;&lt;strong
 &gt;&lt;span class=&quot;m_8141217058565785764gmail-m_7523020484188147313m_-509990759
 4712376520gmail-s1&quot;&gt;Directions and Parking:&amp;nbsp\;&lt;/span&gt;&lt;/strong&gt;Parking 
 on the Caltech campus is accessible from Michigan Avenue\, south of Del Ma
 r Avenue. Parking is free after 5 pm. Arms Lab location:&amp;nbsp\;&lt;span class
 =&quot;m_8141217058565785764gmail-m_7523020484188147313m_-5099907594712376520gm
 ail-s1&quot;&gt;&lt;a href=&quot;http://www.caltech.edu/map/charles-arms-laboratory-of-the
 -geological-sciences&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot; data-saferedirecturl=
 &quot;https://www.google.com/url?q=http://www.caltech.edu/map/charles-arms-labo
 ratory-of-the-geological-sciences&amp;amp\;source=gmail&amp;amp\;ust=1557677385125
 000&amp;amp\;usg=AFQjCNF45lmt_FmK1VGs931Z2UN9k2FsDw&quot;&gt;http://www.caltech.&lt;wbr /
 &gt;edu/map/charles-arms-&lt;wbr /&gt;laboratory-of-the-geological-&lt;wbr /&gt;sciences&lt;
 /a&gt;&lt;/span&gt;&lt;/div&gt;\n&lt;/div&gt;\n&lt;div dir=&quot;ltr&quot;&gt;\n&lt;p class=&quot;m_8141217058565785764
 gmail-m_7523020484188147313m_-5099907594712376520gmail-p1&quot;&gt;&lt;span class=&quot;m_
 8141217058565785764gmail-m_7523020484188147313m_-5099907594712376520gmail-
 s1&quot;&gt;&lt;span style=&quot;font-family: verdana\, sans-serif\;&quot;&gt;&lt;strong&gt;Reservation:
 &lt;/strong&gt;&amp;nbsp\;Please RSVP with your IEEE membership # to&amp;nbsp\;&lt;a href=&quot;
 mailto:la.grss.officers@ieee.org&quot; target=&quot;_blank&quot; rel=&quot;noopener&quot;&gt;la.grss.o
 fficers@ieee.org&lt;/a&gt;. You are welcome to bring your spouse as a guest. Non
 -members can go to&amp;nbsp\;&lt;a href=&quot;http://www.ieee.org/join&quot; target=&quot;_blank
 &quot; rel=&quot;noopener&quot; data-saferedirecturl=&quot;https://www.google.com/url?q=http:/
 /www.ieee.org/join&amp;amp\;source=gmail&amp;amp\;ust=1557677385125000&amp;amp\;usg=AF
 QjCNGEaL5CTkK-xdpZlsRFv-Wwso3O2g&quot;&gt;www.ieee.org/join&lt;/a&gt;\, then send your m
 embership number.&lt;/span&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p class=&quot;m_8141217058565785764gmail-
 m_-2796181625951996431gmail-p1&quot;&gt;&amp;nbsp\;&lt;span style=&quot;font-family: verdana\,
  sans-serif\;&quot;&gt;Please see the&amp;nbsp\;&lt;span class=&quot;m_8141217058565785764gmai
 l-il&quot;&gt;event&lt;/span&gt;&amp;nbsp\;&lt;strong&gt;&lt;a href=&quot;http://sites.ieee.org/metrola-gr
 ss/files/2019/05/Flyer_IEEE_GRSS_May30_Final.pdf&quot; target=&quot;_blank&quot; rel=&quot;noo
 pener&quot; data-saferedirecturl=&quot;https://www.google.com/url?q=http://sites.iee
 e.org/metrola-grss/files/2019/05/Flyer_IEEE_GRSS_May30_Final.pdf&amp;amp\;sour
 ce=gmail&amp;amp\;ust=1557677385125000&amp;amp\;usg=AFQjCNFdqTiBwVCeXI0ujE5zLaSsMU
 Uxbg&quot;&gt;flyer&lt;/a&gt;&lt;/strong&gt;&amp;nbsp\;for agenda and other details.&lt;/span&gt;&lt;/p&gt;\n&lt;
 /div&gt;\n&lt;/div&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;5:30 pm &amp;ndash\; Refreshments&lt;/p
 &gt;\n&lt;p&gt;6:00 pm &amp;ndash\; Announcements&lt;/p&gt;\n&lt;p&gt;6:10 pm &amp;ndash\; Lecture&lt;/p&gt;\
 n&lt;p&gt;7:00 pm &amp;ndash\; Discussion&lt;/p&gt;\n&lt;p&gt;7:30 pm &amp;ndash\; Adjournment &amp;nbsp
 \;&lt;/p&gt;
END:VEVENT
END:VCALENDAR