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GIS/ValTech 2021 has ended
NOTE THAT THIS IS NOT THE CONFERENCE PLATFORM AND YOU CAN NOT ACCESS THE VIRTUAL CONFERENCE THROUGH THIS AGENDA/APP. If you registered for the conference, you were sent an email on Friday, March 19 with instructions to access the conference platform. If you cannot locate that email, please check your junk folder first and then send an email to vmcbride@urisa.org to verify your registration.

Welcome to the 24th Annual GIS/Valuation Technologies Conference, co-hosted by the International Association of Assessing Officers (IAAO) and the Urban and Regional Information Systems Association (URISA). The conference will be presented virtually this year during the week of March 22-26, 2021. The workshops and sessions are detailed here. Note that the schedule appears in the Central Time Zone.

Join IAAO and/or URISA and qualify immediately for the discounted Member Conference Rates. Young professional and student registration fees are further discounted.

REGISTRATION: The cost to participate – for attendees and our partners – has been significantly reduced (by 50% or more) in order to make it easier to attend. You must register to access the online conference. All registered attendees will receive emailed instructions before the conference begins on March 22. Review registration details here.

With work, school, and family commitments, you may not be able to attend every session as it occurs ’live’. No worries! After the conference, registered participants will be able to view the presentation recordings whenever it is convenient.

NOTE THAT THIS IS NOT THE CONFERENCE PLATFORM AND YOU CAN NOT ACCESS THE VIRTUAL CONFERENCE THROUGH THIS AGENDA/APP. If you registered for the conference, you were sent an email on Friday, March 19 with instructions to access the conference platform. If you cannot locate that email, please check your junk folder first and then send an email to vmcbride@urisa.org to verify your registration. 
Back To Schedule
Wednesday, March 24 • 3:45pm - 5:00pm
Featured Panel: Artificial Intelligence, Information Extraction, and Change Detection from Lidar Point Clouds and Imagery – Proven Techniques

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Our panel will provide an overview of machine learning techniques, commonly referred to as artificial intelligence, as they are related to feature extraction, computer vision, GIS data fusion, and the creation of derivative geospatial data products. The session will discuss:

  • Computer vision, image segmentation, and feature extraction.
  • Artificial neural networks, machine learning, and training data.
  • Geospatial data fusion of non-georeferenced data sets.
  • Derivative products of infrastructure and real properties.
  • Ontologies needed for future development.


Moderators
avatar for Alex Hepp

Alex Hepp

Director Assessment, Cyclomedia Technology, Inc.

Speakers
avatar for Keith Cunningham, Ph.D

Keith Cunningham, Ph.D

Principal Consultant, Mobile Mapping Corporation
Keith is a researcher and affiliate professor of remote sensing.  His PhD dissertation titled “Artificial neural networks for the extraction of spatial information from raster imagery” explored the first image segmentation systems employing machine learning. He holds two patents... Read More →
avatar for Jesse Sprague

Jesse Sprague

Omachron Labs
Jesse is an expert in the AI utilized in photogrammetry and the founder of Omachron Labs. His current business provides pipeline integrity monitoring services utilizing computer vision and automated change detection, which grew from his Master’s research sponsored by RM-URISA and... Read More →
avatar for Jaehoon Jung, Ph.D.

Jaehoon Jung, Ph.D.

Assistant Professor of Geomatics, Oregon State University
JAEHOON JUNG, Ph.D., is an Assistant Professor of Geomatics at Oregon State University. He is also a co-founder and CTO of a tech transfer company, EZDataMD, LLC. He has over 10 years of experience developing algorithms and tools for transportation and infrastructure management using... Read More →


Wednesday March 24, 2021 3:45pm - 5:00pm CDT
Virtual