The IEEE Los Angeles Geoscience and Remote Sensing Society Chapter Present a Special Lecture Event!
Machine Learning Application for Satellite Image Analysis: Methods and Case Studies
Vinay Viswambharan, Shairoz Sohail, and Sangeet Mathew
Esri Image Team and Esri A.I. Team
Thursday, May 30, 2018
Arms Laboratory, Sharp Lecture Hall
California Institute of Technology
About the Talk: Remote sensing specialists from academia and industry have been using the latest progress in artificial intelligence to find more efficient and accurate methods to extract knowledge from the huge collection of satellite images accumulated in the past 30 years. In this talk, members from Esri’s imagery and A.I. teams will explain the technical details of using cutting edge machine learning and deep learning methods to analyze multi-source remote sensing data. The methods will be presented in an intuitive 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 detecting polluted swimming pools, identifying the unhealthy palm trees, and detecting damaged structures and roads post disaster. The presenters will also share their experiences about working at Esri and where the future of A.I and remote sensing is headed.
About the Speakers:
Vinay Viswambharan is a product manager on the Imagery team at Esri, with a zeal for remote sensing and everything 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.
Sharioz Sohail is a data scientist on Esri’s GeoAI team. He works mainly on building deep learning models for aerial and satellite imagery, LiDar, drone feeds, and live video. He routinely solves problems from object detection and tracking, image classification, semantic segmentation, NLP, and other areas.
Sangeet 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 & Machine Learning. Certified in A.I. & Deep Learning.
Directions 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-laboratory-of-the-geological-sciences
Reservation: Please RSVP with your IEEE membership # to email@example.com. You are welcome to bring your spouse as a guest. Non-members can go to www.ieee.org/join, then send your membership number.
Please see the event flyer for agenda and other details.